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Stochastic Methods

2788 directly classified papers

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Papers

Quantum Algorithms for Non-smooth Non-convex Optimization NIPS 2024
Fast parallel sampling under isoperimetry COLT 2024
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract) COLT 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024
PRODuctive bandits: Importance Weighting No More NIPS 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Sparse Variational Student-t Processes AAAI 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NIPS 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024
Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Lexicographic Optimization: Algorithms and Stability AISTATS 2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NIPS 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
Queueing Matching Bandits with Preference Feedback NIPS 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024
Differentially Private Optimization with Sparse Gradients NIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024
Pareto Smoothed Importance Sampling JMLR 2024