Papers
Optimal learning rates for least squares SVMs using Gaussian kernels
Mona Eberts, Ingo Steinwart
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan, Alan S. Willsky
Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jacob D. Abernethy, Rafael M. Frongillo
Additive Gaussian Processes
David K. Duvenaud, Hannes Nickisch, Carl E. Rasmussen
Agnostic Selective Classification
Yair Wiener, Ran El-Yaniv
Hierarchically Supervised Latent Dirichlet Allocation
Adler J. Perotte, Frank Wood, Noemie Elhadad et al.
Autonomous Learning of Action Models for Planning
Neville Mehta, Prasad Tadepalli, Alan Fern
Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy, Tony Jebara
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
Ke Chen, Ahmad Salman
A Non-Parametric Approach to Dynamic Programming
Oliver B. Kroemer, Jan R. Peters
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Eric Moulines, Francis R. Bach
Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth et al.
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-bianchi, Ohad Shamir
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen J. Xiang, Hao Xu, Peter J. Ramadge
MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi, Kee-eung Kim
Data Skeletonization via Reeb Graphs
Xiaoyin Ge, Issam I. Safa, Mikhail Belkin et al.
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Joseph Keshet, David A. McAllester
A Denoising View of Matrix Completion
Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
Complexity of Inference in Latent Dirichlet Allocation
David Sontag, Dan Roy
RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal, Pierre-antoine Absil
Dimensionality Reduction Using the Sparse Linear Model
Ioannis A. Gkioulekas, Todd Zickler