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conftrace_

stochastic optimization

1,137 papers

SO

Papers

Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NeurIPS 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization JMLR 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024 Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization ICLR 2024 PASOA- PArticle baSed Bayesian Optimal Adaptive design ICML 2024 PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NeurIPS 2024 Private Zeroth-Order Nonsmooth Nonconvex Optimization ICLR 2024 Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Sample Average Approximation for Black-Box Variational Inference UAI 2024 Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024 SDEs for Minimax Optimization AISTATS 2024 Second Order Methods for Bandit Optimization and Control COLT 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024 Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NeurIPS 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training ICLR 2024 S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NeurIPS 2024 Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024