Stochastic Methods

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Gradient-free Decoder Inversion in Latent Diffusion Models NeurIPS 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024 Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps JMLR 2024 Harvesting Memory-bound CPU Stall Cycles in Software with MSH OSDI 2024 HDQMF: Holographic Feature Decomposition Using Quantum Algorithms CVPR 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 High-probability complexity bounds for stochastic non-convex minimax optimization NeurIPS 2024 High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise ICML 2024 How Free is Parameter-Free Stochastic Optimization? ICML 2024 How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024 HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NeurIPS 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints IJCAI 2024 Improved Regret for Bandit Convex Optimization with Delayed Feedback NeurIPS 2024 Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024 Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NeurIPS 2024 In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies NeurIPS 2024 Infinite-Horizon Distributionally Robust Regret-Optimal Control ICML 2024 Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024 Interaction-Force Transport Gradient Flows NeurIPS 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities ICML 2024 Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024