Stochastic Methods

Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions NeurIPS 2023 Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023 Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition NeurIPS 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NeurIPS 2023 Finding Local Minima Efficiently in Decentralized Optimization NeurIPS 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NeurIPS 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NeurIPS 2023 Finite-Time Logarithmic Bayes Regret Upper Bounds NeurIPS 2023 Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract) IJCAI 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 First Order Stochastic Optimization with Oblivious Noise NeurIPS 2023 Fisher information lower bounds for sampling ALT 2023 Formalizing Preferences Over Runtime Distributions ICML 2023 Fully-Adaptive Composition in Differential Privacy ICML 2023 Fully Online Matching with Stochastic Arrivals and Departures AAAI 2023 GANs as Gradient Flows that Converge JMLR 2023 Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023 Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage COLT 2023 Generalized Confidence Constraints AAAI 2023 Generating Private Synthetic Data with Genetic Algorithms ICML 2023 Generating Synthetic Datasets by Interpolating along Generalized Geodesics UAI 2023 Gibbsian Polar Slice Sampling ICML 2023 Graph Attention Retrospective JMLR 2023 Greedy Poisson Rejection Sampling NeurIPS 2023