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Stochastic Methods

2,788 papers

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Papers

Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract) IJCAI 2020
The Method of Random Directions Optimization for Stereo Audio Source Separation INTERSPEECH 2020
Independent Echo Path Modeling for Stereophonic Acoustic Echo Cancellation INTERSPEECH 2020
Spatial Resolution of Early Reflection for Speech and White Noise INTERSPEECH 2020
Lower Bounds for Parallel and Randomized Convex Optimization JMLR 2020
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information JMLR 2020
Practical Locally Private Heavy Hitters JMLR 2020
Distributed Feature Screening via Componentwise Debiasing JMLR 2020
Generalized Nonbacktracking Bounds on the Influence JMLR 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
Memoryless Sequences for General Losses JMLR 2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020
Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions JMLR 2020
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020
A determinantal point process for column subset selection JMLR 2020