Stochastic Methods

SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding ICML 2024 Simulation-Free Schrödinger Bridges via Score and Flow Matching AISTATS 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NeurIPS 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 Small coresets via negative dependence: DPPs, linear statistics, and concentration NeurIPS 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024 Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees AAAI 2024 SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity ICML 2024 Sparse Variational Student-t Processes AAAI 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 SPO: Sequential Monte Carlo Policy Optimisation NeurIPS 2024 S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NeurIPS 2024 Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations ICML 2024 Stable Implementation of Probabilistic ODE Solvers JMLR 2024 Statistical-Computational Trade-offs for Density Estimation NeurIPS 2024 Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024 Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality JMLR 2024 Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024 Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024 Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements NeurIPS 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024