Papers
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
John Duchi, Elad Hazan, Yoram Singer
Additive Gaussian Processes
David K. Duvenaud, Hannes Nickisch, Carl E. Rasmussen
A Denoising View of Matrix Completion
Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
James Foulds, Christopher DuBois, Arthur Asuncion et al.
A Family of Simple Non-Parametric Kernel Learning Algorithms
Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Hongtao Lu, Xianzhong Long, Jingyuan Lv
A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
Xiao–Tong Yuan, Shuicheng Yan
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
Odalric-Ambrym Maillard, Rémi Munos, Gilles Stoltz
A Framework for Push-Grasping in Clutter
Mehmet Dogar, Siddhartha Srinivasa
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications
Kun Zhang, Aapo Hyvärinen
A Global Structural EM Algorithm for a Model of Cancer Progression
Ali Tofigh, Erik Sj̦lund, Mattias H̦glund et al.
Agnostic KWIK learning and efficient approximate reinforcement learning
István Szita, Csaba Szepesvári
Agnostic Selective Classification
Yair Wiener, Ran El-Yaniv
Algorithms and hardness results for parallel large margin learning
Phil Long, Rocco Servedio
Algorithms for Hyper-Parameter Optimization
James S. Bergstra, Rémi Bardenet, Yoshua Bengio et al.
A Linear Approximation for Graph-based Simultaneous Localization and Mapping
Luca Carlone, Rosario Aragues, Jose Castellanos et al.
A Machine Learning Approach to Predict Chemical Reactions
Matthew A. Kayala, Pierre F. Baldi
A Model for Temporal Dependencies in Event Streams
Asela Gunawardana, Christopher Meek, Puyang Xu
A More Powerful Two-Sample Test in High Dimensions using Random Projection
Miles Lopes, Laurent Jacob, Martin J. Wainwright
Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao, Hirotaka Hachiya, Gang Niu et al.
Analytical Results for the Error in Filtering of Gaussian Processes
Alex K. Susemihl, Ron Meir, Manfred Opper
An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Adam Coates, Andrew Ng, Honglak Lee
An Analytic Motion Planning Solution for the Snakeboard
Elie Shammas, Mauricio de Oliveira
An Application of Tree-Structured Expectation Propagation for Channel Decoding
Pablo M. Olmos, Luis Salamanca, Juan Fuentes et al.