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Stochastic Methods

2788 directly classified papers

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Papers

Near-Optimal Entrywise Sampling for Data Matrices NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
Loss-Proportional Subsampling for Subsequent ERM ICML 2013
Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013
Active Learning for Multi-Objective Optimization ICML 2013
Solving inverse problem of Markov chain with partial observations NIPS 2013
Learning Triggering Kernels for Multi-dimensional Hawkes Processes ICML 2013
Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013
Passive Learning with Target Risk COLT 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NIPS 2013
Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NIPS 2013
Scalable Simple Random Sampling and Stratified Sampling ICML 2013
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NIPS 2013
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013
Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013
Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013
Stochastic Optimization of PCA with Capped MSG NIPS 2013
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Temporal Difference Methods for the Variance of the Reward To Go ICML 2013
Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013
Modeling Information Propagation with Survival Theory ICML 2013
Minimum Constraint Displacement Motion Planning RSS 2013
Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012