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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Differentially Private Optimization with Sparse Gradients NIPS 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
Stochastic Generative Flow Networks UAI 2023
Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning NSDI 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023
Graph-Aided Online Multi-Kernel Learning JMLR 2023
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation AAAI 2023
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration AAAI 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023
On Universal Portfolios with Continuous Side Information AISTATS 2023
MixFlows: principled variational inference via mixed flows ICML 2023
Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023
Fast Rates in Time-Varying Strongly Monotone Games ICML 2023
Approximate Stein Classes for Truncated Density Estimation ICML 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023
Online Local Differential Private Quantile Inference via Self-normalization ICML 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023