Stochastic Methods

Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning UAI 2020 An adaptive stochastic optimization algorithm for resource allocation ALT 2020 An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits NeurIPS 2020 Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020 An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint AAAI 2020 An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays AISTATS 2020 A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems AAAI 2020 APKeep: Realtime Verification for Real Networks NSDI 2020 A Randomized Algorithm to Reduce the Support of Discrete Measures NeurIPS 2020 A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration NeurIPS 2020 A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints NeurIPS 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 A Stochastic Derivative Free Optimization Method with Momentum ICLR 2020 Asymptotically Optimal Exact Minibatch Metropolis-Hastings NeurIPS 2020 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms AISTATS 2020 Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020 Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance NeurIPS 2020 A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates ALT 2020 A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem IJCAI 2020 A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020 A Unified Statistically Efficient Estimation Framework for Unnormalized Models AISTATS 2020 Auto-Tuning Structured Light by Optical Stochastic Gradient Descent CVPR 2020 Bandit Convex Optimization in Non-stationary Environments AISTATS 2020 Batch Stationary Distribution Estimation ICML 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020