Papers
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 Application of Tree-Structured Expectation Propagation for Channel Decoding
Pablo M. Olmos, Luis Salamanca, Juan Fuentes et al.
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
Zuoguan Wang, Gerwin Schalk, Qiang Ji
An Empirical Evaluation of Thompson Sampling
Olivier Chapelle, Lihong Li
An Exact Algorithm for F-Measure Maximization
Krzysztof J. Dembczynski, Willem Waegeman, Weiwei Cheng et al.
An ideal observer model for identifying the reference frame of objects
Joseph L. Austerweil, Abram L. Friesen, Thomas L. Griffiths
A Non-Parametric Approach to Dynamic Programming
Oliver B. Kroemer, Jan R. Peters
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
Michael Mozer, Benjamin Link, Harold Pashler
Approximating Semidefinite Programs in Sublinear Time
Dan Garber, Elad Hazan
A rational model of causal inference with continuous causes
Thomas L. Griffiths, Michael James
A Reinforcement Learning Theory for Homeostatic Regulation
Mehdi Keramati, Boris S. Gutkin
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan et al.
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
Omar Z. Khan, Pascal Poupart, John-mark M. Agosta
Autonomous Learning of Action Models for Planning
Neville Mehta, Prasad Tadepalli, Alan Fern
Bayesian Bias Mitigation for Crowdsourcing
Fabian L. Wauthier, Michael I. Jordan
Bayesian Partitioning of Large-Scale Distance Data
David Adametz, Volker Roth
Bayesian Spike-Triggered Covariance Analysis
ll Memming Park, Jonathan W. Pillow
Beating SGD: Learning SVMs in Sublinear Time
Elad Hazan, Tomer Koren, Nati Srebro
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter, Ohad Shamir, Nati Srebro et al.
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
Matthias Hein, Simon Setzer