Papers
Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger, Olivier Chapelle
Generative and Discriminative Learning with Unknown Labeling Bias
Steven J. Phillips, Miroslav Dudík
Short-Term Depression in VLSI Stochastic Synapse
Peng Xu, Timothy K. Horiuchi, Pamela A. Abshire
The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor
Dependent Dirichlet Process Spike Sorting
Jan Gasthaus, Frank Wood, Dilan Gorur et al.
Optimization on a Budget: A Reinforcement Learning Approach
Paul L. Ruvolo, Ian Fasel, Javier R. Movellan
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael T. Todd, Yael Niv, Jonathan D. Cohen
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan et al.
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
Kernelized Sorting
Novi Quadrianto, Le Song, Alex J. Smola
Improved Moves for Truncated Convex Models
Philip Torr, M. P. Kumar
Skill Characterization Based on Betweenness
Ozgur Simsek, Andrew G. Barto
Bayesian Model of Behaviour in Economic Games
Debajyoti Ray, Brooks King-casas, P. R. Montague et al.
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
An Extended Level Method for Efficient Multiple Kernel Learning
Zenglin Xu, Rong Jin, Irwin King et al.
Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar et al.
Relative Margin Machines
Tony Jebara, Pannagadatta K. Shivaswamy
Robust Kernel Principal Component Analysis
Minh H. Nguyen, Fernando Torre
Artificial Olfactory Brain for Mixture Identification
Mehmet K. Muezzinoglu, Alexander Vergara, Ramon Huerta et al.
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
John W. Roberts, Russ Tedrake
A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi et al.
Syntactic Topic Models
Jordan L. Boyd-graber, David M. Blei
Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang, Irwin King, Michael Lyu
Characterizing neural dependencies with copula models
Pietro Berkes, Frank Wood, Jonathan W. Pillow
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Guangzhi Cao, Charles Bouman