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Stochastic Methods

1077 directly classified papers

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Papers

Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NIPS 2024
From Past to Future: Rethinking Eligibility Traces AAAI 2024
Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024
SDEs for Minimax Optimization AISTATS 2024
Where is the signal in tokenization space? EMNLP 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise JMLR 2024
Discerning Temporal Difference Learning AAAI 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024
Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NIPS 2024
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NIPS 2024
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
An Online Bootstrap for Time Series AISTATS 2024
Online Learning of Decision Trees with Thompson Sampling AISTATS 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals 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