Stochastic Methods

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024 Stochastic Newton Proximal Extragradient Method NeurIPS 2024 Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise NeurIPS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 Stochastic Optimization with Arbitrary Recurrent Data Sampling ICML 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NeurIPS 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024 Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation ICML 2024 SWiBE: A Parameterized Stochastic Diffusion Process for Noise-Robust Bandwidth Expansion Interspeech 2024 Symmetries in Overparametrized Neural Networks: A Mean Field View NeurIPS 2024 Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024 Testing the Feasibility of Linear Programs with Bandit Feedback ICML 2024 The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024 The Nyström method for convex loss functions JMLR 2024 The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations COLT 2024 The sample complexity of ERMs in stochastic convex optimization AISTATS 2024 The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NeurIPS 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AAAI 2024