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Stochastic Methods

2788 directly classified papers

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Papers

Optimization Algorithm Design via Electric Circuits NIPS 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
On Differentially Private U Statistics NIPS 2024
On conditional diffusion models for PDE simulations NIPS 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
Low Degree Hardness for Broadcasting on Trees NIPS 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Thresholds for Reconstruction of Random Hypergraphs From Graph Projections COLT 2024
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NIPS 2024
DPPMask: Masked Image Modeling With Determinantal Point Processes WACV 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024
Dissimilarity Bandits AISTATS 2024
The sample complexity of ERMs in stochastic convex optimization AISTATS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024
Concentration of empirical barycenters in metric spaces ALT 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
On the Privacy of Selection Mechanisms with Gaussian Noise AISTATS 2024