Papers
10,712 papers found
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
Chonghai Hu, Weike Pan, James T. Kwok
Boosting with Spatial Regularization
Yongxin Xi, Uri Hasson, Peter J. Ramadge et al.
Nonparametric Bayesian Texture Learning and Synthesis
Long Zhu, Yuanahao Chen, Bill Freeman et al.
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
Min Yang, Linli Xu, Martha White et al.
On Herding and the Perceptron Cycling Theorem
Andrew Gelfand, Yutian Chen, Laurens Maaten et al.
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
Abhinav Gupta, Martial Hebert, Takeo Kanade et al.
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
Ken Takiyama, Masato Okada
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
Fuxin Li, Cristian Sminchisescu
Trading off Mistakes and Don't-Know Predictions
Amin Sayedi, Morteza Zadimoghaddam, Avrim Blum
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
Tang Jie, Pieter Abbeel
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
Active Learning by Querying Informative and Representative Examples
Sheng-jun Huang, Rong Jin, Zhi-Hua Zhou
Error Propagation for Approximate Policy and Value Iteration
Amir-massoud Farahmand, Csaba Szepesvári, Rémi Munos
A rational decision making framework for inhibitory control
Pradeep Shenoy, Angela J. Yu, Rajesh P. Rao
Simultaneous Object Detection and Ranking with Weak Supervision
Matthew Blaschko, Andrea Vedaldi, Andrew Zisserman
Generating more realistic images using gated MRF's
Marc'aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton
Movement extraction by detecting dynamics switches and repetitions
Silvia Chiappa, Jan R. Peters
Random Projections for $k$-means Clustering
Christos Boutsidis, Anastasios Zouzias, Petros Drineas
Smoothness, Low Noise and Fast Rates
Nathan Srebro, Karthik Sridharan, Ambuj Tewari
Multiple Kernel Learning and the SMO Algorithm
Zhaonan Sun, Nawanol Ampornpunt, Manik Varma et al.
A unified model of short-range and long-range motion perception
Shuang Wu, Xuming He, Hongjing Lu et al.
Random Walk Approach to Regret Minimization
Hariharan Narayanan, Alexander Rakhlin
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
Wei Chen, Tie-yan Liu, Zhi-ming Ma
Synergies in learning words and their referents
Mark Johnson, Katherine Demuth, Bevan Jones et al.
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari