Pages that link to "Item:Q3648521"
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The following pages link to Robust Stochastic Approximation Approach to Stochastic Programming (Q3648521):
Displaying 50 items.
- On the Complexity of Random Satisfiability Problems with Planted Solutions (Q4577186) (← links)
- Swarming for Faster Convergence in Stochastic Optimization (Q4582016) (← links)
- Optimizing Adaptive Importance Sampling by Stochastic Approximation (Q4584930) (← links)
- Optimization with Reference-Based Robust Preference Constraints (Q4588856) (← links)
- On Sampling Rates in Simulation-Based Recursions (Q4600839) (← links)
- On the Convergence of Gradient-Like Flows with Noisy Gradient Input (Q4602552) (← links)
- Stochastic Gradient Descent in Continuous Time (Q4607057) (← links)
- Batched Stochastic Gradient Descent with Weighted Sampling (Q4609808) (← links)
- Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems (Q4611529) (← links)
- Variance-Based Extragradient Methods with Line Search for Stochastic Variational Inequalities (Q4620417) (← links)
- Stochastic Model-Based Minimization of Weakly Convex Functions (Q4620418) (← links)
- String-averaging incremental stochastic subgradient algorithms (Q4631774) (← links)
- Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization (Q4636997) (← links)
- Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression (Q4637017) (← links)
- Accelerating Stochastic Composition Optimization (Q4637024) (← links)
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- A Central Limit Theorem and Hypotheses Testing for Risk-averse Stochastic Programs (Q4641663) (← links)
- Optimization Methods for Large-Scale Machine Learning (Q4641709) (← links)
- On the regularizing property of stochastic gradient descent (Q4646419) (← links)
- Random Gradient Extrapolation for Distributed and Stochastic Optimization (Q4687240) (← links)
- Minimax Optimal Procedures for Locally Private Estimation (Q4690944) (← links)
- Robust stochastic maximum principle for multi-model worst case optimization (Q4804440) (← links)
- Stochastic Subgradient Estimation Training for Support Vector Machines (Q4922840) (← links)
- Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach (Q4958550) (← links)
- Optimal survey schemes for stochastic gradient descent with applications to <i>M</i>-estimation (Q4967801) (← links)
- Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions (Q4969107) (← links)
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- Technical Note—Perishable Inventory Systems: Convexity Results for Base-Stock Policies and Learning Algorithms Under Censored Demand (Q4971563) (← links)
- Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees (Q4971591) (← links)
- Robust Power Management via Learning and Game Design (Q4994161) (← links)
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- Sampled limited memory methods for massive linear inverse problems (Q5000590) (← links)
- Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity (Q5000647) (← links)
- Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand (Q5000652) (← links)
- Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods (Q5003207) (← links)
- A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation (Q5003727) (← links)
- On the Effectiveness of Richardson Extrapolation in Data Science (Q5018900) (← links)
- Distributed Bregman-Distance Algorithms for Min-Max Optimization (Q5023087) (← links)
- Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction (Q5026835) (← links)
- Proximal Gradient Methods for Machine Learning and Imaging (Q5028165) (← links)
- Some Limit Properties of Markov Chains Induced by Recursive Stochastic Algorithms (Q5037552) (← links)
- A fully stochastic second-order trust region method (Q5043844) (← links)
- Efficient numerical methods to solve sparse linear equations with application to PageRank (Q5043846) (← links)