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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation IJCAI 2023
Probabilistic Exponential Integrators NIPS 2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria ICML 2023
ScaleDB: A Scalable, Asynchronous In-Memory Database OSDI 2023
Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization ICML 2023
Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023
Stochastic Gradient Succeeds for Bandits ICML 2023
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function ICML 2023
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning NSDI 2023
Bilevel Optimization with Coupled Decision-Dependent Distributions ICML 2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization ICML 2023
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search NIPS 2023
Deep Momentum Multi-Marginal Schrödinger Bridge NIPS 2023
Generating Private Synthetic Data with Genetic Algorithms ICML 2023
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms NIPS 2023
High-dimensional Asymptotics of Denoising Autoencoders NIPS 2023
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NIPS 2023
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms NIPS 2023
Improved Frequency Estimation Algorithms with and without Predictions NIPS 2023
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment NIPS 2023
Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NIPS 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023
Robust Linear Regression for General Feature Distribution AISTATS 2023
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NIPS 2023