Papers
21,849 papers found
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M. Kakade, Varun Kanade, Ohad Shamir et al.
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
Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham et al.
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
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.
Evaluating the inverse decision-making approach to preference learning
Alan Jern, Christopher G. Lucas, Charles Kemp
Exploiting spatial overlap to efficiently compute appearance distances between image windows
Bogdan Alexe, Viviana Petrescu, Vittorio Ferrari
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido F. Montufar, Johannes Rauh, Nihat Ay
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
Ke Chen, Ahmad Salman
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal et al.
Fast and Accurate k-means For Large Datasets
Michael Shindler, Alex Wong, Adam W. Meyerson
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng, Sanjeev Satheesh, Alexander C. Berg et al.
Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier, Rémi Munos
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor, Ohad Shamir
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi, Richard Naud, Wulfram Gerstner
Gaussian process modulated renewal processes
Yee W. Teh, Vinayak Rao
Gaussian Process Training with Input Noise
Andrew Mchutchon, Carl E. Rasmussen
Generalised Coupled Tensor Factorisation
Kenan Y. Yılmaz, Ali T. Cemgil, Umut Simsekli
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Joseph Keshet, David A. McAllester
Generalized Beta Mixtures of Gaussians
Artin Armagan, Merlise Clyde, David B. Dunson