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Stochastic Methods

1,118 papers

Papers per year

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18
33
106
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Papers

Thompson Sampling for 1-Dimensional Exponential Family Bandits NIPS 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
Aggregating Predictions via Sequential Mini-Trading ACML 2013
Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013
Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013
Learning CRFs for Image Parsing with Adaptive Subgradient Descent ICCV 2013
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013
Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013
Large-Scale Learning with Less RAM via Randomization ICML 2013
No more pesky learning rates ICML 2013
Loss-Proportional Subsampling for Subsequent ERM ICML 2013
Stable Coactive Learning via Perturbation ICML 2013
Approximate Inference in Collective Graphical Models ICML 2013
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013
BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
Fast Resampling Weighted v-Statistics NIPS 2012
Ancestor Sampling for Particle Gibbs NIPS 2012
Interpreting prediction markets: a stochastic approach NIPS 2012
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NIPS 2012