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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Where is the signal in tokenization space? EMNLP 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024
Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024
Relightable and Animatable Neural Avatar from Sparse-View Video CVPR 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024
Wasserstein Differential Privacy AAAI 2024
Dynamic Spiking Graph Neural Networks AAAI 2024
SDEs for Minimax Optimization AISTATS 2024
General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning WACV 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024
Online Learning of Decision Trees with Thompson Sampling AISTATS 2024
Common Diffusion Noise Schedules and Sample Steps Are Flawed WACV 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
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024
Learning with Posterior Sampling for Revenue Management under Time-varying Demand IJCAI 2024
Bandits with Concave Aggregated Reward IJCAI 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024