Papers
173,579 papers found
Dynamic Policy Programming with Function Approximation
Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin et al.
Efficient and Effective Visual Codebook Generation Using Additive Kernels
Jianxin Wu, Wei-Chian Tan, James M. Rehg
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan, Alfred O. Hero
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons
Yan Karklin, Eero P. Simoncelli
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl, Vladlen Koltun
Efficient inference in matrix-variate Gaussian models with \iid observation noise
Oliver Stegle, Christoph Lippert, Joris M. Mooij et al.
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M. Kakade, Varun Kanade, Ohad Shamir et al.
Efficient Learning with Partially Observed Attributes
Nicoló Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir
Efficient Methods for Overlapping Group Lasso
Lei Yuan, Jun Liu, Jieping Ye
Efficient Offline Communication Policies for Factored Multiagent POMDPs
João V. Messias, Matthijs Spaan, Pedro U. Lima
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-bianchi, Ohad Shamir
Efficient Structure Learning of Bayesian Networks using Constraints
Cassio P. de Campos, Qiang Ji
Efficient variable selection in support vector machines via the alternating direction method of multipliers
Gui–Bo Ye, Yifei Chen, Xiaohui Xie
Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham et al.
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Veselin Stoyanov, Alexander Ropson, Jason Eisner
Energetically Optimal Action Potentials
Martin B. Stemmler, Biswa Sengupta, Simon Laughlin et al.
Environmental statistics and the trade-off between model-based and TD learning in humans
Dylan A. Simon, Nathaniel D. Daw
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
Xueyuan Zhou, Nathan Srebro
Estimating beta-mixing coefficients
Daniel McDonald, Cosma Shalizi, Mark Schervish
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results
Akihiro Koide, Kazumi Saito, Kouzou Ohara et al.
Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon, Paul Kidwell
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
Ryota Kobayashi, Yasuhiro Tsubo, Petr Lansky et al.