Stochastic Methods

No Dimensional Sampling Coresets for Classification ICML 2024 Nonconvex scenario optimization for data-driven reachability L4DC 2024 Non-convex Stochastic Composite Optimization with Polyak Momentum ICML 2024 Non-geodesically-convex optimization in the Wasserstein space NeurIPS 2024 Non-parametric Online Change Point Detection on Riemannian Manifolds ICML 2024 Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates ICML 2024 Nowcasting Temporal Trends Using Indirect Surveys AAAI 2024 Oja's Algorithm for Streaming Sparse PCA NeurIPS 2024 On Comparing Time- and Frequency-Domain Rhythm Measures in Classifying Assamese Dialects Interspeech 2024 On conditional diffusion models for PDE simulations NeurIPS 2024 On Differentially Private U Statistics NeurIPS 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 On Efficient and Statistical Quality Estimation for Data Annotation ACL 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis COLT 2024 On Improving Error Resilience of Neural End-to-End Speech Coders Interspeech 2024 Online Composite Optimization Between Stochastic and Adversarial Environments NeurIPS 2024 Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NeurIPS 2024 Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints ICML 2024 Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024 Online Weighted Paging with Unknown Weights NeurIPS 2024 On Multi-Armed Bandit with Impatient Arms ICML 2024 On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation ICLR 2024 On The Complexity of First-Order Methods in Stochastic Bilevel Optimization ICML 2024 On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024 On the Computational Complexity of Private High-dimensional Model Selection NeurIPS 2024