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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
On Inference Stability for Diffusion Models AAAI 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
Online multiple testing with e-values AISTATS 2024
Online Sensitivity Optimization in Differentially Private Learning AAAI 2024
Mixed-Effects Contextual Bandits AAAI 2024
Relightable and Animatable Neural Avatar from Sparse-View Video CVPR 2024
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024
Dynamic Spiking Graph Neural Networks AAAI 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Adaptive Compression in Federated Learning via Side Information AISTATS 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression AAAI 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Accelerated Parameter-Free Stochastic Optimization COLT 2024
An Online Bootstrap for Time Series AISTATS 2024