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Stochastic Methods

2,788 papers

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Papers

Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024
Pure Exploration in Bandits with Linear Constraints AISTATS 2024
Multi-armed bandits with guaranteed revenue per arm AISTATS 2024
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024
Directional Optimism for Safe Linear Bandits AISTATS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Exploration via linearly perturbed loss minimisation AISTATS 2024
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching AISTATS 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
On the Privacy of Selection Mechanisms with Gaussian Noise AISTATS 2024
Model-Based Best Arm Identification for Decreasing Bandits AISTATS 2024
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing AISTATS 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
Quantifying intrinsic causal contributions via structure preserving interventions AISTATS 2024