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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024
Wasserstein Differential Privacy AAAI 2024
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NIPS 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NIPS 2024
Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024
SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024
Mixed-Effects Contextual Bandits AAAI 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024
Dynamic Spiking Graph Neural Networks AAAI 2024
Bandits with Concave Aggregated Reward IJCAI 2024
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024
SDEs for Minimax Optimization AISTATS 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
Online Sensitivity Optimization in Differentially Private Learning AAAI 2024
On the Role of Server Momentum in Federated Learning AAAI 2024