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Stochastic Methods

2788 directly classified papers

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Papers

Open Problem: Meeting Times for Learning Random Automata COLT 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
Soft Margin Support Vector Classification as Buffered Probability Minimization JMLR 2017
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means IJCAI 2017
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions JMLR 2017
Probabilistic Path Hamiltonian Monte Carlo ICML 2017
Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017
Robust Quadratic Programming for Price Optimization IJCAI 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016
Epigraph projections for fast general convex programming ICML 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016
Interacting Particle Markov Chain Monte Carlo ICML 2016
Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier ICML 2016
Recycling Randomness with Structure for Sublinear time Kernel Expansions ICML 2016
Pliable Rejection Sampling ICML 2016
How to Fake Multiply by a Gaussian Matrix ICML 2016
Fast DPP Sampling for Nystrom with Application to Kernel Methods ICML 2016
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization ICML 2016
Anytime optimal algorithms in stochastic multi-armed bandits ICML 2016
Sparse Parameter Recovery from Aggregated Data ICML 2016
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016
On the Influence of Momentum Acceleration on Online Learning JMLR 2016
Best-of-K-bandits COLT 2016
Learning Simple Auctions COLT 2016