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Stochastic Methods

2788 directly classified papers

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Papers

AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024
Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming AAAI 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Interaction-Force Transport Gradient Flows NIPS 2024
Exploring Syllable Discriminability during Diadochokinetic Task with Increasing Dysarthria Severity for Patients with Amyotrophic Lateral Sclerosis INTERSPEECH 2024
Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
Big Learning Expectation Maximization AAAI 2024
PRODuctive bandits: Importance Weighting No More NIPS 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
Continual Counting with Gradual Privacy Expiration NIPS 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NIPS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024