Ranking annotators for crowdsourced labeling tasks
Vikas C. Raykar, Shipeng Yu
[pdf]
[bibtex]
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Peter Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf
[pdf]
[bibtex]
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration
Paul Wagner
[pdf]
[bibtex]
Maximum Margin Multi-Instance Learning
Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris Ding
[pdf]
[bibtex]
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
Emin Orhan, Robert A. Jacobs
[pdf]
[bibtex] [supplemental]
Shaping Level Sets with Submodular Functions
Francis Bach
[pdf]
[bibtex]
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
Sergey Levine, Zoran Popovic, Vladlen Koltun
[pdf]
[bibtex] [supplemental]
Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness
Remi Munos
[pdf]
[bibtex]
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Flavio Chierichetti, Jon Kleinberg, David Liben-Nowell
[pdf]
[bibtex]
Variance Reduction in Monte-Carlo Tree Search
Joel Veness, Marc Lanctot, Michael Bowling
[pdf]
[bibtex]
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
Chun-Nam Yu, Russ Greiner, Hsiu-Chin Lin, Vickie Baracos
[pdf]
[bibtex]
An Application of Tree-Structured Expectation Propagation for Channel Decoding
Pablo M. Olmos, Luis Salamanca, Juan José J. Murillo Fuentes, Fernando Perez-Cruz
[pdf]
[bibtex]
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin, Andrew Y. Ng, Christopher D. Manning
[pdf]
[bibtex]
Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd C. König
[pdf]
[bibtex]
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
Nico Goernitz, Christian K. Widmer, Georg Zeller, Andre Kahles, Soeren Sonnenburg, Gunnar Raetsch
[pdf]
[bibtex] [supplemental]
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity
Nir Ailon
[pdf]
[bibtex]
Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
[pdf]
[bibtex] [supplemental]
Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama, Aapo Hyvarinen
[pdf]
[spotlight]
[bibtex] [supplemental]
Active Ranking using Pairwise Comparisons
Kevin G. Jamieson, Rob Nowak
[pdf]
[bibtex]
Submodular Multi-Label Learning
James Petterson, Tiberio S. Caetano
[pdf]
[bibtex] [supplemental]
On U-processes and clustering performance
Stéphan Clémençon
[pdf]
[spotlight]
[bibtex]
A concave regularization technique for sparse mixture models
Martin O. Larsson, Johan Ugander
[pdf]
[bibtex]
Prediction strategies without loss
Michael Kapralov, Rina Panigrahy
[pdf]
[bibtex]
Learning a Distance Metric from a Network
Blake Shaw, Bert Huang, Tony Jebara
[pdf]
[bibtex] [supplemental]
Data Skeletonization via Reeb Graphs
Xiaoyin Ge, Issam I. Safa, Mikhail Belkin, Yusu Wang
[pdf]
[bibtex]
Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O. Perry, Michael W. Mahoney
[pdf]
[bibtex]
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar Rahnama Rad, Liam Paninski
[pdf]
[spotlight]
[bibtex] [supplemental]
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Scott Niekum, Andrew G. Barto
[pdf]
[bibtex]
Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan, Ran El-Yaniv
[pdf]
[bibtex]
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Iasonas Kokkinos
[pdf]
[spotlight]
[bibtex]
Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman
[pdf]
[spotlight]
[bibtex]
Efficient Offline Communication Policies for Factored Multiagent POMDPs
João V. Messias, Matthijs Spaan, Pedro U. Lima
[pdf]
[bibtex] [supplemental]
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
Xinggang Wang, Xiang Bai, Xingwei Yang, Wenyu Liu, Longin Jan J. Latecki
[pdf]
[bibtex]
Penalty Decomposition Methods for Rank Minimization
Yong Zhang, Zhaosong Lu
[pdf]
[bibtex]
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John Duchi
[pdf]
[bibtex]
Greedy Algorithms for Structurally Constrained High Dimensional Problems
Ambuj Tewari, Pradeep K. Ravikumar, Inderjit S. Dhillon
[pdf]
[bibtex] [supplemental]
Sparse Manifold Clustering and Embedding
Ehsan Elhamifar, Rene Vidal
[pdf]
[bibtex]
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen James Xiang, Hao Xu, Peter J. Ramadge
[pdf]
[bibtex] [supplemental]
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction
Siwei Lyu
[pdf]
[bibtex]
Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh
[pdf]
[spotlight]
[bibtex] [supplemental]
Sparse recovery by thresholded non-negative least squares
Martin Slawski, Matthias Hein
[pdf]
[bibtex] [supplemental]
Image Parsing with Stochastic Scene Grammar
Yibiao Zhao, Song-chun Zhu
[pdf]
[bibtex]
On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali, Christopher C. Johnson, Pradeep K. Ravikumar
[pdf]
[spotlight]
[bibtex]
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
Vijay Mahadevan, Chi Wah Wong, Jose Costa Pereira, Tom Liu, Nuno Vasconcelos, Lawrence Saul
[pdf]
[bibtex]
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M. Kakade, Adam Kalai, Varun Kanade, Ohad Shamir
[pdf]
[bibtex] [supplemental]
On the Analysis of Multi-Channel Neural Spike Data
Bo Chen, David E. Carlson, Lawrence Carin
[pdf]
[bibtex]
Learning Eigenvectors for Free
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
[pdf]
[bibtex]
Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh
[pdf]
[spotlight]
[bibtex] [supplemental]
A Reinforcement Learning Theory for Homeostatic Regulation
Mehdi Keramati, Boris S. Gutkin
[pdf]
[bibtex] [supplemental]
The Kernel Beta Process
Lu Ren, Yingjian Wang, David Dunson, Lawrence Carin
[pdf]
[spotlight]
[bibtex] [supplemental]
Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima
[pdf]
[bibtex]
Probabilistic amplitude and frequency demodulation
Richard Turner, Maneesh Sahani
[pdf]
[spotlight]
[bibtex] [supplemental]
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
Andrew M. Saxe, Maneesh Bhand, Ritvik Mudur, Bipin Suresh, Andrew Y. Ng
[pdf]
[bibtex] [supplemental]
Learning large-margin halfspaces with more malicious noise
Phil Long, Rocco A. Servedio
[pdf]
[bibtex]
On Strategy Stitching in Large Extensive Form Multiplayer Games
Richard G. Gibson, Duane Szafron
[pdf]
[bibtex]
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl, Vladlen Koltun
[pdf]
[bibtex]
Transfer Learning by Borrowing Examples for Multiclass Object Detection
Joseph J. Lim, Ruslan R. Salakhutdinov, Antonio Torralba
[pdf]
[bibtex]
On Tracking The Partition Function
Guillaume Desjardins, Aaron Courville, Yoshua Bengio
[pdf]
[bibtex] [supplemental]
Gaussian process modulated renewal processes
Vinayak A. Rao, Yee Whye Teh
[pdf]
[bibtex] [supplemental]
Understanding the Intrinsic Memorability of Images
Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva
[pdf]
[bibtex]
Environmental statistics and the trade-off between model-based and TD learning in humans
Dylan A. Simon, Nathaniel D. Daw
[pdf]
[bibtex] [supplemental]
Similarity-based Learning via Data Driven Embeddings
Purushottam Kar, Prateek Jain
[pdf]
[bibtex] [supplemental]
Complexity of Inference in Latent Dirichlet Allocation
David Sontag, Dan Roy
[pdf]
[spotlight]
[bibtex] [supplemental]
Sparse Estimation with Structured Dictionaries
David P. Wipf
[pdf]
[spotlight]
[bibtex]
On the Universality of Online Mirror Descent
Nati Srebro, Karthik Sridharan, Ambuj Tewari
[pdf]
[bibtex] [supplemental]
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons
yan karklin, Eero P. Simoncelli
[pdf]
[bibtex]
Predicting response time and error rates in visual search
Bo Chen, Vidhya Navalpakkam, Pietro Perona
[pdf]
[bibtex]
Lower Bounds for Passive and Active Learning
Maxim Raginsky, Alexander Rakhlin
[pdf]
[spotlight]
[bibtex] [supplemental]
Spectral Methods for Learning Multivariate Latent Tree Structure
animashree anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song, Tong Zhang
[pdf]
[bibtex] [supplemental]
How biased are maximum entropy models?
Jakob H. Macke, Iain Murray, Peter E. Latham
[pdf]
[bibtex] [supplemental]
Algorithms for Hyper-Parameter Optimization
James S. Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl
[pdf]
[bibtex]
Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner
[pdf]
[bibtex]
Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence
[pdf]
[bibtex]
Selecting Receptive Fields in Deep Networks
Adam Coates, Andrew Y. Ng
[pdf]
[bibtex]
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
Nitesh Shroff, Pavan Turaga, Rama Chellappa
[pdf]
[bibtex]
A Global Structural EM Algorithm for a Model of Cancer Progression
Ali Tofigh, Erik Sj̦lund, Mattias H̦glund, Jens Lagergren
[pdf]
[bibtex] [supplemental]
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad Shahed Sorower, Thomas Dietterich, Janardhan Rao Doppa, Walker Orr, Prasad Tadepalli, Xiaoli Fern
[pdf]
[bibtex]
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
[pdf]
[bibtex] [supplemental]
Active learning of neural response functions with Gaussian processes
Mijung Park, Greg Horwitz, Jonathan W. Pillow
[pdf]
[spotlight]
[bibtex] [supplemental]
Active Classification based on Value of Classifier
Tianshi Gao, Daphne Koller
[pdf]
[spotlight]
[bibtex]
Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand
[pdf]
[spotlight]
[bibtex]
Learning to Learn with Compound HD Models
Ruslan R. Salakhutdinov, Josh Tenenbaum, Antonio Torralba
[pdf]
[spotlight]
[bibtex]
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
Zuoguan Wang, Gerwin Schalk, Qiang Ji
[pdf]
[spotlight]
[bibtex]
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
Nobuyuki Morioka, Shin'ichi Satoh
[pdf]
[bibtex]
Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian, Nuno Vasconcelos
[pdf]
[bibtex] [supplemental]
Active Learning with a Drifting Distribution
Liu Yang
[pdf]
[bibtex]
Approximating Semidefinite Programs in Sublinear Time
Dan Garber, Elad Hazan
[pdf]
[bibtex]
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E. Waters, Aswin C. Sankaranarayanan, Richard Baraniuk
[pdf]
[bibtex]
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi, Alan Fern, Xiaoli Fern
[pdf]
[spotlight]
[bibtex] [supplemental]
Matrix Completion for Multi-label Image Classification
Ricardo S. Cabral, Fernando D. De la Torre, Joao P. Costeira, Alexandre Bernardino
[pdf]
[bibtex]
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory, Jeff A. Bilmes
[pdf]
[spotlight]
[bibtex]
Confidence Sets for Network Structure
David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi
[pdf]
[bibtex]
Prismatic Algorithm for Discrete D.C. Programming Problem
Yoshinobu Kawahara, Takashi Washio
[pdf]
[bibtex]
Structured sparse coding via lateral inhibition
arthur d. szlam, Karol Gregor, Yann LeCun
[pdf]
[bibtex] [supplemental]
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jacob D. Abernethy, Rafael M. Frongillo
[pdf]
[bibtex]
Sparse Filtering
Jiquan Ngiam, Pang Wei W. Koh, Zhenghao Chen, Sonia A. Bhaskar, Andrew Y. Ng
[pdf]
[spotlight]
[bibtex] [supplemental]
Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster, Lyle Ungar
[pdf]
[bibtex] [supplemental]
Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel, Ruslan R. Salakhutdinov, Ohad Shamir, Nati Srebro
[pdf]
[bibtex] [supplemental]
Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez, Girish Kulkarni, Tamara L. Berg
[pdf]
[spotlight]
[bibtex]
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
[pdf]
[bibtex]
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate, Noah Goodman, Andreas Stuhlmueller, Jeffrey M. Siskind
[pdf]
[bibtex]
Generalised Coupled Tensor Factorisation
Kenan Y. Yılmaz, Ali Taylan Cemgil, Umut Simsekli
[pdf]
[bibtex]
Nearest Neighbor based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar, Ambuj Tewari
[pdf]
[bibtex] [supplemental]
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam, Andrew Y. Ng
[pdf]
[bibtex] [supplemental]
Collective Graphical Models
Daniel R. Sheldon, Thomas Dietterich
[pdf]
[bibtex] [supplemental]
Metric Learning with Multiple Kernels
Jun Wang, Huyen T. Do, Adam Woznica, Alexandros Kalousis
[pdf]
[bibtex]
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
[pdf]
[bibtex] [supplemental]
Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-Kuo Huang, Jeff Schneider
[pdf]
[bibtex]
The Fixed Points of Off-Policy TD
J. Zico Z. Kolter
[pdf]
[spotlight]
[bibtex] [supplemental]
Active dendrites: adaptation to spike-based communication
Balazs B. Ujfalussy, Mate Lengyel
[pdf]
[spotlight]
[bibtex] [supplemental]
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
Ryota Kobayashi, Yasuhiro Tsubo, Petr Lansky, Shigeru Shinomoto
[pdf]
[bibtex]
Additive Gaussian Processes
David K. Duvenaud, Hannes Nickisch, Carl Edward Rasmussen
[pdf]
[bibtex]
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-Son P. Le, Ziv Bar-Joseph
[pdf]
[bibtex] [supplemental]
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-Jui Hsieh, Matyas A. Sustik, Inderjit S. Dhillon, Pradeep K. Ravikumar
[pdf]
[bibtex] [supplemental]
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena
[pdf]
[bibtex]
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume R. Obozinski, Francis Bach
[pdf]
[bibtex]
Query-Aware MCMC
Michael L. Wick, Andrew McCallum
[pdf]
[bibtex]
Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding, Grace Wahba, Xiaojin (Jerry) Zhu
[pdf]
[bibtex] [supplemental]
Statistical Tests for Optimization Efficiency
Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling
[pdf]
[bibtex]
Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama
[pdf]
[bibtex] [supplemental]
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
David Mcallester, Joseph Keshet
[pdf]
[bibtex]
Dimensionality Reduction Using the Sparse Linear Model
Ioannis A. Gkioulekas, Todd Zickler
[pdf]
[bibtex] [supplemental]
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Julie Dethier, Paul Nuyujukian, Chris Eliasmith, Terrence C. Stewart, Shauki A. Elasaad, Krishna V. Shenoy, Kwabena A. Boahen
[pdf]
[bibtex]
Multi-Bandit Best Arm Identification
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric, Sebastien Bubeck
[pdf]
[bibtex]
Randomized Algorithms for Comparison-based Search
Dominique Tschopp, Suhas Diggavi, Payam Delgosha, Soheil Mohajer
[pdf]
[bibtex] [supplemental]
Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato, Jose Miguel Hernández-Lobato, Pierre Dupont
[pdf]
[bibtex]
Maximum Margin Multi-Label Structured Prediction
Christoph H. Lampert
[pdf]
[bibtex] [supplemental]
Beating SGD: Learning SVMs in Sublinear Time
Elad Hazan, Tomer Koren, Nati Srebro
[pdf]
[bibtex]
Greedy Model Averaging
Dong Dai, Tong Zhang
[pdf]
[bibtex]
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen, Cédric Févotte
[pdf]
[bibtex]
Evaluating the inverse decision-making approach to preference learning
Alan Jern, Christopher G. Lucas, Charles Kemp
[pdf]
[spotlight]
[bibtex]
Sparse Features for PCA-Like Linear Regression
Christos Boutsidis, Petros Drineas, Malik Magdon-Ismail
[pdf]
[bibtex]
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
Ke Chen, Ahmad Salman
[pdf]
[bibtex] [supplemental]
Analytical Results for the Error in Filtering of Gaussian Processes
Alex K. Susemihl, Ron Meir, Manfred Opper
[pdf]
[bibtex] [supplemental]
Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Fei F. Li, Eric P. Xing
[pdf]
[bibtex]
Composite Multiclass Losses
Elodie Vernet, Robert C. Williamson, Mark D. Reid
[pdf]
[bibtex]
Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Tom Griffiths
[pdf]
[bibtex]
Thinning Measurement Models and Questionnaire Design
Ricardo Silva
[pdf]
[bibtex] [supplemental]
Co-Training for Domain Adaptation
Minmin Chen, Kilian Q. Weinberger, John Blitzer
[pdf]
[bibtex]
An Empirical Evaluation of Thompson Sampling
Olivier Chapelle, Lihong Li
[pdf]
[bibtex]
Inductive reasoning about chimeric creatures
Charles Kemp
[pdf]
[spotlight]
[bibtex]
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
Michalis Titsias, Miguel Lázaro-Gredilla
[pdf]
[bibtex] [supplemental]
Blending Autonomous Exploration and Apprenticeship Learning
Thomas J. Walsh, Daniel K. Hewlett, Clayton T. Morrison
[pdf]
[bibtex]
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-bonhage, Andrzej S. Cichocki
[pdf]
[spotlight]
[bibtex]
Practical Variational Inference for Neural Networks
Alex Graves
[pdf]
[spotlight]
[bibtex]
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
[pdf]
[bibtex]
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P. Reichert, Peggy Series, Amos J. Storkey
[pdf]
[spotlight]
[bibtex]
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
Matthias Hein, Simon Setzer
[pdf]
[bibtex] [supplemental]
Robust Lasso with missing and grossly corrupted observations
Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
[pdf]
[bibtex]
A Denoising View of Matrix Completion
Weiran Wang, Miguel A. Carreira-Perpinan, Zhengdong Lu
[pdf]
[bibtex]
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-Bianchi, Ohad Shamir
[pdf]
[bibtex] [supplemental]
A rational model of causal inference with continuous causes
Michael Pacer, Tom Griffiths
[pdf]
[bibtex]
Quasi-Newton Methods for Markov Chain Monte Carlo
Yichuan Zhang, Charles Sutton
[pdf]
[bibtex]
Monte Carlo Value Iteration with Macro-Actions
Zhan Wei W. Lim, David Hsu, Lee Sun
[pdf]
[bibtex] [supplemental]
Efficient Methods for Overlapping Group Lasso
Lei Yuan, Jun Liu, Jieping Ye
[pdf]
[bibtex] [supplemental]
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee Whye Teh, Charles Blundell, Lloyd Elliott
[pdf]
[bibtex]
Structured Learning for Cell Tracking
Xinghua Lou, Fred A. Hamprecht
[pdf]
[bibtex]
Differentially Private M-Estimators
Jing Lei
[pdf]
[bibtex] [supplemental]
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
Cristina Savin, Peter Dayan, Mate Lengyel
[pdf]
[bibtex] [supplemental]
Algorithms and hardness results for parallel large margin learning
Rocco A. Servedio, Phil Long
[pdf]
[spotlight]
[bibtex]
Portmanteau Vocabularies for Multi-Cue Image Representation
Fahad S. Khan, Joost van de Weijer, Andrew D. Bagdanov, Maria Vanrell
[pdf]
[bibtex]
Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel J. Hsu, Sham M. Kakade, Alexander Rakhlin
[pdf]
[bibtex]
Boosting with Maximum Adaptive Sampling
Charles Dubout, Francois Fleuret
[pdf]
[bibtex]
Gaussian Process Training with Input Noise
Andrew McHutchon, Carl Edward Rasmussen
[pdf]
[bibtex]
Structure Learning for Optimization
Shulin Yang, Ali Rahimi
[pdf]
[bibtex] [supplemental]
The Doubly Correlated Nonparametric Topic Model
Dae Il Kim, Erik B. Sudderth
[pdf]
[bibtex] [supplemental]
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao, Juergen Gall, Luc V. Gool, Raquel Urtasun
[pdf]
[bibtex] [supplemental]
The Manifold Tangent Classifier
Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller
[pdf]
[bibtex]
Multiple Instance Filtering
Kamil A. Wnuk, Stefano Soatto
[pdf]
[bibtex]
Bayesian Partitioning of Large-Scale Distance Data
David Adametz, Volker Roth
[pdf]
[bibtex]
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
Xianxing Zhang, David Dunson, Lawrence Carin
[pdf]
[bibtex] [supplemental]
Phase transition in the family of p-resistances
Morteza Alamgir, Ulrike von Luxburg
[pdf]
[spotlight]
[bibtex] [supplemental]
Kernel Bayes' Rule
Kenji Fukumizu, Le Song, Arthur Gretton
[pdf]
[bibtex] [supplemental]
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi, Richard Naud, Wulfram Gerstner
[pdf]
[bibtex]
Convergent Bounds on the Euclidean Distance
Yoonho Hwang, Hee-Kap Ahn
[pdf]
[bibtex] [supplemental]
Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, David Pal, Csaba Szepesvari
[pdf]
[spotlight]
[bibtex] [supplemental]
Contextual Gaussian Process Bandit Optimization
Andreas Krause, Cheng Soon Ong
[pdf]
[bibtex] [supplemental]
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
Guy Van den Broeck
[pdf]
[bibtex]
Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning
Taiji Suzuki
[pdf]
[bibtex] [supplemental]
Heavy-tailed Distances for Gradient Based Image Descriptors
Yangqing Jia, Trevor Darrell
[pdf]
[bibtex] [supplemental]
An Exact Algorithm for F-Measure Maximization
Krzysztof J. Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hullermeier
[pdf]
[bibtex]
RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal, Pierre-Antoine Absil
[pdf]
[bibtex]
Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai, Hal Daume III
[pdf]
[bibtex]
Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
[pdf]
[bibtex] [supplemental]
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido F. Montufar, Johannes Rauh, Nihat Ay
[pdf]
[bibtex]
On the accuracy of l1-filtering of signals with block-sparse structure
Anatoli Iouditski, Fatma Kilinc Karzan, Arkadi S. Nemirovski, Boris T. Polyak
[pdf]
[spotlight]
[bibtex]
Autonomous Learning of Action Models for Planning
Neville Mehta, Prasad Tadepalli, Alan Fern
[pdf]
[bibtex]
Sequence learning with hidden units in spiking neural networks
Johanni Brea, Walter Senn, Jean-Pascal Pfister
[pdf]
[spotlight]
[bibtex]
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman
[pdf]
[spotlight]
[bibtex] [supplemental]
History distribution matching method for predicting effectiveness of HIV combination therapies
Jasmina Bogojeska
[pdf]
[bibtex] [supplemental]
Priors over Recurrent Continuous Time Processes
Ardavan Saeedi, Alexandre Bouchard-Côté
[pdf]
[bibtex] [supplemental]
A blind sparse deconvolution method for neural spike identification
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
[pdf]
[spotlight]
[bibtex]
Semi-supervised Regression via Parallel Field Regularization
Binbin Lin, Chiyuan Zhang, Xiaofei He
[pdf]
[bibtex]
Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy, Tony Jebara
[pdf]
[bibtex]
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan, Xiaojin (Jerry) Zhu, Bilge Mutlu
[pdf]
[bibtex]
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas Le Roux, Francis Bach
[pdf]
[bibtex]
Object Detection with Grammar Models
Ross B. Girshick, Pedro Felzenszwalb, David Mcallester
[pdf]
[spotlight]
[bibtex]
Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger, Christian Wojek, Raquel Urtasun
[pdf]
[bibtex]
Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth, David Blei
[pdf]
[bibtex]
Group Anomaly Detection using Flexible Genre Models
Liang Xiong, Barnabas Poczos, Jeff Schneider
[pdf]
[bibtex]
Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang, Piyush Rai, Hal Daume III
[pdf]
[bibtex] [supplemental]
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Francis Bach, Eric Moulines
[pdf]
[spotlight]
[bibtex]
Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue, Carlos Guestrin
[pdf]
[bibtex] [supplemental]
t-divergence Based Approximate Inference
Nan Ding, S.V.N. Vishwanathan, Yuan (Alan) Qi
[pdf]
[bibtex] [supplemental]
On fast approximate submodular minimization
Stefanie Jegelka, Hui Lin, Jeff A. Bilmes
[pdf]
[bibtex]
Learning person-object interactions for action recognition in still images
Vincent Delaitre, Josef Sivic, Ivan Laptev
[pdf]
[bibtex]
Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits
Matthias S. Keil
[pdf]
[bibtex]
Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe
[pdf]
[spotlight]
[bibtex]
Convergent Fitted Value Iteration with Linear Function Approximation
Dan Lizotte
[pdf]
[bibtex]
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard, Gyemin Lee, Clay Scott
[pdf]
[bibtex] [supplemental]
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan, Alfred Hero
[pdf]
[bibtex]
Projection onto A Nonnegative Max-Heap
Jun Liu, Liang Sun, Jieping Ye
[pdf]
[spotlight]
[bibtex] [supplemental]
Select and Sample - A Model of Efficient Neural Inference and Learning
Jacquelyn A. Shelton, Jorg Bornschein, Abdul Saboor Sheikh, Pietro Berkes, Jorg Lucke
[pdf]
[bibtex] [supplemental]
Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. D. Yoo
[pdf]
[bibtex]
Optimal learning rates for least squares SVMs using Gaussian kernels
Mona Eberts, Ingo Steinwart
[pdf]
[bibtex] [supplemental]
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava
[pdf]
[bibtex]
Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla, Wray Buntine
[pdf]
[bibtex]
A More Powerful Two-Sample Test in High Dimensions using Random Projection
Miles Lopes, Laurent Jacob, Martin J. Wainwright
[pdf]
[bibtex]
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan, Jieping Ye
[pdf]
[bibtex] [supplemental]
An ideal observer model for identifying the reference frame of objects
Joseph L. Austerweil, Abram L. Friesen, Tom Griffiths
[pdf]
[bibtex]
Generalized Beta Mixtures of Gaussians
Artin Armagan, David Dunson, Merlise Clyde
[pdf]
[bibtex]
Inferring spike-timing-dependent plasticity from spike train data
Ian H. Stevenson, Konrad Koerding
[pdf]
[bibtex]
Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang, Laurent E. Ghaoui
[pdf]
[bibtex]
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
Omar Z. Khan, Pascal Poupart, John-Mark M. Agosta
[pdf]
[bibtex]
Continuous-Time Regression Models for Longitudinal Networks
Duy Q. Vu, Arthur Asuncion, David Hunter, Padhraic Smyth
[pdf]
[bibtex]
Committing Bandits
Loc X. Bui, Ramesh Johari, Shie Mannor
[pdf]
[bibtex] [supplemental]
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T. Pham, Tat-jun Chin, Jin Yu, David Suter
[pdf]
[bibtex] [supplemental]
$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
Congcong Li, Ashutosh Saxena, Tsuhan Chen
[pdf]
[bibtex]
Crowdclustering
Ryan G. Gomes, Peter Welinder, Andreas Krause, Pietro Perona
[pdf]
[bibtex]
Energetically Optimal Action Potentials
Martin B. Stemmler, Biswa Sengupta, Simon Laughlin, Jeremy Niven
[pdf]
[bibtex]
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Fei Fei F. Li
[pdf]
[bibtex] [supplemental]
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi, Masashi Sugiyama
[pdf]
[bibtex] [supplemental]
PiCoDes: Learning a Compact Code for Novel-Category Recognition
Alessandro Bergamo, Lorenzo Torresani, Andrew Fitzgibbon
[pdf]
[bibtex]
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella
[pdf]
[spotlight]
[bibtex]
Hierarchically Supervised Latent Dirichlet Allocation
Adler J. Perotte, Frank Wood, Noemie Elhadad, Nicholas Bartlett
[pdf]
[bibtex]
The Fast Convergence of Boosting
Matus J. Telgarsky
[pdf]
[bibtex] [supplemental]
Multi-armed bandits on implicit metric spaces
Aleksandrs Slivkins
[pdf]
[bibtex]
Selecting the State-Representation in Reinforcement Learning
Odalric-Ambrym Maillard, Remi Munos, Daniil Ryabko
[pdf]
[bibtex]
Learning Anchor Planes for Classification
Ziming Zhang, Lubor Ladicky, Philip Torr, Amir Saffari
[pdf]
[bibtex]
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
Joni K. Pajarinen, Jaakko Peltonen
[pdf]
[bibtex]
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella
[pdf]
[bibtex]
Pylon Model for Semantic Segmentation
Victor Lempitsky, Andrea Vedaldi, Andrew Zisserman
[pdf]
[bibtex]
Demixed Principal Component Analysis
Wieland Brendel, Ranulfo Romo, Christian K. Machens
[pdf]
[bibtex]
Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
[pdf]
[bibtex] [supplemental]
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu, Ning Chen, Eric P. Xing
[pdf]
[bibtex] [supplemental]
Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani
[pdf]
[bibtex]
MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi, Kee-Eung Kim
[pdf]
[bibtex] [supplemental]
Solving Decision Problems with Limited Information
Denis D. Maua, Cassio P. de Campos
[pdf]
[spotlight]
[bibtex]
Universal low-rank matrix recovery from Pauli measurements
Yi-Kai Liu
[pdf]
[spotlight]
[bibtex]
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms
Liefeng Bo, Xiaofeng Ren, Dieter Fox
[pdf]
[bibtex]
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
Yuan (Alan) Qi, Feng Yan
[pdf]
[bibtex]
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
Zhouchen Lin, Risheng Liu, Zhixun Su
[pdf]
[bibtex] [supplemental]
Probabilistic Joint Image Segmentation and Labeling
Adrian Ion, Joao Carreira, Cristian Sminchisescu
[pdf]
[spotlight]
[bibtex]
Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier, Remi Munos
[pdf]
[bibtex]
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter, Ohad Shamir, Nati Srebro, Karthik Sridharan
[pdf]
[bibtex] [supplemental]
Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Ameet S. Talwalkar, Michael I. Jordan
[pdf]
[bibtex] [supplemental]
Adaptive Hedge
Tim van Erven, Peter Grunwald, Wouter M. Koolen, Steven D. Rooij
[pdf]
[bibtex]
Agnostic Selective Classification
Yair Wiener, Ran El-Yaniv
[pdf]
[bibtex]
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan, Aram Galstyan
[pdf]
[bibtex] [supplemental]
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C. Perrault-Joncas, Marina Meila
[pdf]
[spotlight]
[bibtex]
PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, Francois Laviolette, John S. Shawe-Taylor, Ronald Ortner
[pdf]
[bibtex] [supplemental]
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan, Satyen Kale
[pdf]
[bibtex]
Learning a Tree of Metrics with Disjoint Visual Features
Sung Ju J. Hwang, Kristen Grauman, Fei Sha
[pdf]
[bibtex]
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
Michael C. Mozer, Benjamin Link, Harold Pashler
[pdf]
[bibtex]
Bayesian Spike-Triggered Covariance Analysis
Il Memming M. Park, Jonathan W. Pillow
[pdf]
[bibtex] [supplemental]
Efficient inference in matrix-variate Gaussian models with \iid observation noise
Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence, Karsten Borgwardt
[pdf]
[bibtex] [supplemental]
Variational Gaussian Process Dynamical Systems
Andreas C. Damianou, Michalis Titsias, Neil D. Lawrence
[pdf]
[bibtex]
On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes, Bernhard Schölkopf
[pdf]
[bibtex] [supplemental]
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A. Knowles, Tom Minka
[pdf]
[bibtex]
Learning to Agglomerate Superpixel Hierarchies
Viren Jain, Srinivas C. Turaga, K Briggman, Moritz N. Helmstaedter, Winfried Denk, H. Sebastian Seung
[pdf]
[bibtex]
A Model for Temporal Dependencies in Event Streams
Asela Gunawardana, Christopher Meek, Puyang Xu
[pdf]
[bibtex]
Learning to Search Efficiently in High Dimensions
Zhen Li, Huazhong Ning, Liangliang Cao, Tong Zhang, Yihong Gong, Thomas S. Huang
[pdf]
[bibtex]
Kernel Embeddings of Latent Tree Graphical Models
Le Song, Ankur P. Parikh, Eric P. Xing
[pdf]
[bibtex] [supplemental]
Inference in continuous-time change-point models
Florian Stimberg, Manfred Opper, Guido Sanguinetti, Andreas Ruttor
[pdf]
[bibtex]
Policy Gradient Coagent Networks
Philip S. Thomas
[pdf]
[bibtex]
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-Ling Loh, Martin J. Wainwright
[pdf]
[bibtex]
Fast and Accurate k-means For Large Datasets
Michael Shindler, Alex Wong, Adam W. Meyerson
[pdf]
[bibtex] [supplemental]
Exploiting spatial overlap to efficiently compute appearance distances between image windows
Bogdan Alexe, Viviana Petrescu, Vittorio Ferrari
[pdf]
[bibtex] [supplemental]
Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner, Andreas Krause
[pdf]
[bibtex] [supplemental]
A Non-Parametric Approach to Dynamic Programming
Oliver B. Kroemer, Jan R. Peters
[pdf]
[bibtex]
A Convergence Analysis of Log-Linear Training
Simon Wiesler, Hermann Ney
[pdf]
[bibtex]
Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
[pdf]
[bibtex]
Iterative Learning for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh, Devavrat Shah
[pdf]
[bibtex]
Predicting Dynamic Difficulty
Olana Missura, Thomas Gaertner
[pdf]
[bibtex]
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau, Yoshua Bengio
[pdf]
[bibtex]
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain Matthews, Rob Fergus
[pdf]
[bibtex]
Transfer from Multiple MDPs
Alessandro Lazaric, Marcello Restelli
[pdf]
[bibtex]
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
Sebastian A. Kurtek, Anuj Srivastava, Wei Wu
[pdf]
[bibtex]
Sparse Bayesian Multi-Task Learning
Cedric Archambeau, Shengbo Guo, Onno Zoeter
[pdf]
[bibtex] [supplemental]
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
[pdf]
[bibtex] [supplemental]
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Bharath K. Sriperumbudur, Kenji Fukumizu, Gert Lanckriet
[pdf]
[bibtex] [supplemental]
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor, Ohad Shamir
[pdf]
[spotlight]
[bibtex] [supplemental]
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Benjamin Recht, Christopher Re, Stephen Wright, Feng Niu
[pdf]
[bibtex]
Clustered Multi-Task Learning Via Alternating Structure Optimization
Jiayu Zhou, Jianhui Chen, Jieping Ye
[pdf]
[bibtex] [supplemental]
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris, Scott Niekum, Philip S. Thomas
[pdf]
[bibtex]
Sparse Recovery with Brownian Sensing
Alexandra Carpentier, Odalric-Ambrym Maillard, Remi Munos
[pdf]
[bibtex] [supplemental]
Why The Brain Separates Face Recognition From Object Recognition
Joel Z. Leibo, Jim Mutch, Tomaso A. Poggio
[pdf]
[bibtex]
Reinforcement Learning using Kernel-Based Stochastic Factorization
Andre S. Barreto, Doina Precup, Joelle Pineau
[pdf]
[bibtex]
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
[pdf]
[bibtex]
Learning unbelievable probabilities
Xaq S. Pitkow, Yashar Ahmadian, Ken D. Miller
[pdf]
[bibtex] [supplemental]
Speedy Q-Learning
Mohammad G. Gheshlaghi Azar, Remi Munos, Mohammad Ghavamzadeh, Hilbert J. Kappen
[pdf]
[bibtex]
A Machine Learning Approach to Predict Chemical Reactions
Matthew A. Kayala, Pierre F. Baldi
[pdf]
[bibtex]
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani, Aurelie C. Lozano
[pdf]
[bibtex]
Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani
[pdf]
[bibtex]
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan, Alan S. Willsky
[pdf]
[bibtex]
Bayesian Bias Mitigation for Crowdsourcing
Fabian L. Wauthier, Michael I. Jordan
[pdf]
[bibtex]
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