Stochastic Methods

Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025 MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025 MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025 Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points ICML 2025 Multi-Pass Memory Lower Bounds for Learning Problems COLT 2025 Multi-player Multi-armed Bandits with Delayed Feedback IJCAI 2025 Nearly Optimal Sample Complexity for Learning with Label Proportions ICML 2025 Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap AAAI 2025 Near-Optimal Rates for O(1)-Smooth DP-SCO with a Single Epoch and Large Batches ALT 2025 New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition COLT 2025 Noisy SIGNSGD Is More Differentially Private Than You (Might) Think ICML 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation ICLR 2025 Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails ICML 2025 Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity ICML 2025 Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping ICLR 2025 Online Covariance Estimation in Nonsmooth Stochastic Approximation COLT 2025 Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting AAAI 2025 Online Resource Sharing: Better Robust Guarantees via Randomized Strategies IJCAI 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs AAAI 2025 On the Benefits of Active Data Collection in Operator Learning ICML 2025 On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent JMLR 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity JMLR 2025 Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics ICML 2025 Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling ICLR 2025