Stochastic Methods

Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023 Unconstrained Online Learning with Unbounded Losses ICML 2023 Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback NeurIPS 2023 Understanding the impact of host networking elements on traffic bursts NSDI 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Unlocking unallocated cloud capacity for long, uninterruptible workloads NSDI 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Utilitarian Algorithm Configuration NeurIPS 2023 VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback JMLR 2023 Vector Optimization with Stochastic Bandit Feedback AISTATS 2023 Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023 Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria NeurIPS 2023 A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022 Abstract Argumentation Frameworks with Marginal Probabilities IJCAI 2022 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion NeurIPS 2022 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 A Continuous Time Framework for Discrete Denoising Models NeurIPS 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 AdaGrad Avoids Saddle Points ICML 2022 Adapting to Mixing Time in Stochastic Optimization with Markovian Data ICML 2022