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MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
Arxiv
0+阅读 · 6月16日
OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality
Arxiv
0+阅读 · 6月15日
Decision-Weighted Flow Matching for Contextual Stochastic Optimization
Arxiv
0+阅读 · 6月15日
Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization
Arxiv
0+阅读 · 5月27日
Regret Equals Covariance: A Closed-Form Characterization for Stochastic Optimization
Arxiv
0+阅读 · 5月13日
Large-scale empirical tuning and comparison of default optimizers for variational inference
Arxiv
0+阅读 · 6月5日
Gefen: Optimized Stochastic Optimizer
Arxiv
0+阅读 · 6月11日
Information-Theoretic Lower Bounds for Bit-Constrained Stochastic Optimization via a Reduction to Compressed Gaussian Mean Estimation
Arxiv
0+阅读 · 5月30日
A Modular Approach to Stochastic Optimisation for Inverse Problems Using the Core Imaging Library
Arxiv
0+阅读 · 3月22日
Information-Theoretic Secure Aggregation in Decentralized Networks
Arxiv
0+阅读 · 3月22日
A Rolling-Horizon Stochastic Optimization Framework for NBA Franchise Management with Distributionally Robust Risk Constraints
Arxiv
0+阅读 · 4月8日
Performative Scenario Optimization
Arxiv
0+阅读 · 3月31日
DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix
Arxiv
0+阅读 · 3月24日
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
Arxiv
0+阅读 · 3月17日
Generalized Random Direction Newton Algorithms for Stochastic Optimization
Arxiv
0+阅读 · 2月23日
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