Papers
173,579 papers found
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver, Peter Dayan
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
Xue-xin Wei, Alan Stocker
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Caoxie Zhang, Honglak Lee, Kang Shin
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen, Alexander Ilin
Efficient high dimensional maximum entropy modeling via symmetric partition functions
Paul Vernaza, Drew Bagnell
Efficient Hypergraph Clustering
Marius Leordeanu, Cristian Sminchisescu
Efficiently finding optimal winding-constrained loops in the plane
Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya et al.
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions
Neil Burch, Marc Lanctot, Duane Szafron et al.
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard, Benjamin V. Roy
Efficient Sampling for Bipartite Matching Problems
Maksims Volkovs, Richard S. Zemel
Efficient Sampling from Combinatorial Space via Bridging
Dahua Lin, John Fisher
E-Graphs: Bootstrapping Planning with Experience Graphs
Michael Phillips, Benjamin Cohen, Sachin Chitta et al.
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks
Vikas C. Raykar, Shipeng Yu
Emergence of Object-Selective Features in Unsupervised Feature Learning
Adam Coates, Andrej Karpathy, Andrew Y. Ng
Ensemble weighted kernel estimators for multivariate entropy estimation
Kumar Sricharan, Alfred O. Hero
Entangled Monte Carlo
Seong-hwan Jun, Liangliang Wang, Alexandre Bouchard-côté
Entropy Estimations Using Correlated Symmetric Stable Random Projections
Ping Li, Cun-hui Zhang
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig, Christian J. Schuler
EP-GIG Priors and Applications in Bayesian Sparse Learning
Zhihua Zhang, Shusen Wang, Dehua Liu et al.
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
Robert Durrant, Ata Kaban
Estimating Human Dynamics On-the-fly Using Monocular Video For Pose Estimation
Priyanshu Agarwal, Suren Kumar, Julian Ryde et al.
Evaluation of marginal likelihoods via the density of states
Michael Habeck