Stochastic Methods

An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022 Approximate Function Evaluation via Multi-Armed Bandits AISTATS 2022 A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization NeurIPS 2022 ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD ICML 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022 Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays NeurIPS 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 Automatic Differentiation of Programs with Discrete Randomness NeurIPS 2022 Better Best of Both Worlds Bounds for Bandits with Switching Costs NeurIPS 2022 Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting AAAI 2022 Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022 Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation NAACL 2022 Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel CVPR 2022 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022 Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations IJCAI 2022 C-MinHash: Improving Minwise Hashing with Circulant Permutation ICML 2022 Communication-Efficient Adaptive Federated Learning ICML 2022 Communication Efficient Federated Learning for Generalized Linear Bandits NeurIPS 2022 Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs NeurIPS 2022 Constrained Langevin Algorithms with L-mixing External Random Variables NeurIPS 2022 Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022 Convergence for score-based generative modeling with polynomial complexity NeurIPS 2022