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Stochastic Methods

1077 directly classified papers

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Linear bandits with Stochastic Delayed Feedback ICML 2020
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks IJCAI 2020
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization IJCAI 2020
AdaScale SGD: A User-Friendly Algorithm for Distributed Training ICML 2020
Efficiently Solving MDPs with Stochastic Mirror Descent ICML 2020
Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization NIPS 2020
SGD with shuffling: optimal rates without component convexity and large epoch requirements NIPS 2020
Locally Differentially Private (Contextual) Bandits Learning NIPS 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning NIPS 2020
Adaptive Sampling for Stochastic Risk-Averse Learning NIPS 2020
Learning Behaviors with Uncertain Human Feedback UAI 2020
Amortized variance reduction for doubly stochastic objective UAI 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models AISTATS 2020
Budget-Constrained Bandits over General Cost and Reward Distributions AISTATS 2020
Riccati updates for online linear quadratic control L4DC 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation L4DC 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation AISTATS 2020
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning AISTATS 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes AISTATS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation AISTATS 2020