Stochastic Methods

A Stochastic Newton Algorithm for Distributed Convex Optimization NeurIPS 2021 Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021 Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021 Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021 Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors ICLR 2021 A unified view of likelihood ratio and reparameterization gradients AISTATS 2021 BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021 Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021 Best Arm Identification in Graphical Bilinear Bandits ICML 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021 Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021 Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs NeurIPS 2021 Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021 Combinatorial Blocking Bandits with Stochastic Delays ICML 2021 Communication-efficient SGD: From Local SGD to One-Shot Averaging NeurIPS 2021 Comparison Lift: Bandit-based Experimentation System for Online Advertising AAAI 2021 Conditional Poisson Stochastic Beams EMNLP 2021 Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021 Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract) AAAI 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021 Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021 Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance NeurIPS 2021 Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021 Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems AISTATS 2021 Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent NeurIPS 2021