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Stochastic Optimization

Papers archive 2025-07-28

archive papers tagged: 1,387 · with a code link: 337 · where Syntology ran a sample: 91 (75 with a run with no instrument failure, 16 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (91 of 1,387 tagged: 75 with a run with no instrument failure, 16 where every run was a failure of Syntology's instrument)

Page 9 of 14: papers 801 to 900 of 1,387, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Distributed stochastic optimization with large delays
  6 Jul 2021 0 repositories listed
• Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
  2 Jul 2021 0 repositories listed
• High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
  28 Jun 2021 0 repositories listed
• Robust Distributed Optimization With Randomly Corrupted Gradients
  28 Jun 2021 0 repositories listed
• Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency
  23 Jun 2021 0 repositories listed
• Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm
  22 Jun 2021 0 repositories listed
• Asynchronous Stochastic Optimization Robust to Arbitrary Delays
  22 Jun 2021 0 repositories listed
• Compositional federated learning: Applications in distributionally robust averaging and meta learning
  21 Jun 2021 0 repositories listed
• The Perils of Learning Before Optimizing
  18 Jun 2021 0 repositories listed
• Stochastic Bias-Reduced Gradient Methods
  17 Jun 2021 0 repositories listed
• Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
  12 Jun 2021 0 repositories listed
• Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
  9 Jun 2021 0 repositories listed
• A novel Deep Neural Network architecture for non-linear system identification
  6 Jun 2021 0 repositories listed
• Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization
  5 Jun 2021 0 repositories listed
• Escaping Saddle Points Faster with Stochastic Momentum
  5 Jun 2021 0 repositories listed
• An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
  4 Jun 2021 0 repositories listed
• Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network
  1 Jun 2021 0 repositories listed
• Combining resampling and reweighting for faithful stochastic optimization
  31 May 2021 0 repositories listed
• Gradient Clipping Helps in Non-Smooth Stochastic Optimization with Heavy-Tailed Noise
  21 May 2021 0 repositories listed
• Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
  21 May 2021 0 repositories listed
• Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
  21 May 2021 0 repositories listed
• Dynamic Trajectory and Offloading Control of UAV-enabled MEC under User Mobility
  19 May 2021 0 repositories listed
• Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
  17 May 2021 0 repositories listed
• How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
  14 May 2021 0 repositories listed
• Scalable Projection-Free Optimization
  7 May 2021 0 repositories listed
• Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization
  5 May 2021 0 repositories listed
• Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling
  5 May 2021 0 repositories listed
• Learning swimming escape patterns for larval fish under energy constraints
  3 May 2021 0 repositories listed
• Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
  2 May 2021 0 repositories listed
• Contracts in Electricity Markets under EU ETS: A Stochastic Programming Approach
  30 Apr 2021 0 repositories listed
• On the Investment Strategies in Occupational Pension Plans
  18 Apr 2021 0 repositories listed
• Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems providing Frequency Regulation
  15 Apr 2021 0 repositories listed
• An Efficient Algorithm for Deep Stochastic Contextual Bandits
  12 Apr 2021 0 repositories listed
• SGD Implicitly Regularizes Generalization Error
  10 Apr 2021 0 repositories listed
• Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning
  31 Mar 2021 0 repositories listed
• Competing Adaptive Networks
  29 Mar 2021 0 repositories listed
• A Variational Inequality Approach to Bayesian Regression Games
  24 Mar 2021 0 repositories listed
• Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method
  24 Mar 2021 0 repositories listed
• Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
  23 Mar 2021 0 repositories listed
• Stochastic Hybrid Approximation for Uncertainty Management in Gas-Electric Systems
  23 Mar 2021 0 repositories listed
• Algorithmic Challenges in Ensuring Fairness at the Time of Decision
  16 Mar 2021 0 repositories listed
• A Retrospective Approximation Approach for Smooth Stochastic Optimization
  7 Mar 2021 0 repositories listed
• Lower Bounding Rate-Distortion From Samples
  4 Mar 2021 0 repositories listed
• A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization
  22 Feb 2021 0 repositories listed
• Estimation and Inference by Stochastic Optimization: Three Examples
  20 Feb 2021 0 repositories listed
• Integrating prediction in mean-variance portfolio optimization
  18 Feb 2021 0 repositories listed
• On the Convergence of Step Decay Step-Size for Stochastic Optimization
  18 Feb 2021 0 repositories listed
• On the Last Iterate Convergence of Momentum Methods
  13 Feb 2021 0 repositories listed
• A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
  12 Feb 2021 0 repositories listed
• A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes
  12 Feb 2021 0 repositories listed
• A Single-Timescale Method for Stochastic Bilevel Optimization
  9 Feb 2021 0 repositories listed
• Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
  6 Feb 2021 0 repositories listed
• Last iterate convergence of SGD for Least-Squares in the Interpolation regime
  5 Feb 2021 0 repositories listed
• Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods
  5 Feb 2021 0 repositories listed
• Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence
  3 Feb 2021 0 repositories listed
• Information-Theoretic Generalization Bounds for Stochastic Gradient Descent
  1 Feb 2021 0 repositories listed
• Constraint-Handling Techniques for Particle Swarm Optimization Algorithms
  25 Jan 2021 0 repositories listed
• Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs
  23 Jan 2021 0 repositories listed
• Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
  15 Jan 2021 0 repositories listed
• Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
  14 Jan 2021 0 repositories listed
• Heteroscedasticity-aware residuals-based contextual stochastic optimization
  8 Jan 2021 0 repositories listed
• Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
  7 Jan 2021 0 repositories listed
• Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1
  7 Jan 2021 0 repositories listed
• Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic
  4 Jan 2021 0 repositories listed
• Integrated Optimization of Predictive and Prescriptive Tasks
  2 Jan 2021 0 repositories listed
• A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization
  1 Jan 2021 0 repositories listed
• Adaptive Single-Pass Stochastic Gradient Descent in Input Sparsity Time
  1 Jan 2021 0 repositories listed
• Apollo: An Adaptive Parameter-wised Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
  1 Jan 2021 0 repositories listed
• Dynamic Feature Selection for Efficient and Interpretable Human Activity Recognition
  1 Jan 2021 0 repositories listed
• Fair Empirical Risk Minimization via Exponential Rényi Mutual Information
  1 Jan 2021 0 repositories listed
• Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions
  1 Jan 2021 0 repositories listed
• Stochastic Optimization with Non-stationary Noise: The Power of Moment Estimation
  1 Jan 2021 0 repositories listed
• Towards Practical Second Order Optimization for Deep Learning
  1 Jan 2021 0 repositories listed
• Data driven Dirichlet sampling on manifolds
  29 Dec 2020 0 repositories listed
• Stochastic Compositional Gradient Descent under Compositional Constraints
  17 Dec 2020 0 repositories listed
• Strong overall error analysis for the training of artificial neural networks via random initializations
  15 Dec 2020 0 repositories listed
• Online Stochastic Optimization with Wasserstein Based Non-stationarity
  13 Dec 2020 0 repositories listed
• Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance
  7 Dec 2020 0 repositories listed
• Escaping Saddle-Point Faster under Interpolation-like Conditions
  1 Dec 2020 0 repositories listed
• The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
  1 Dec 2020 0 repositories listed
• Adam^+: A Stochastic Method with Adaptive Variance Reduction
  24 Nov 2020 0 repositories listed
• Optimal Algorithms for Convex Nested Stochastic Composite Optimization
  19 Nov 2020 0 repositories listed
• State-of-charge Estimation of a Li-ion Battery using Deep Learning and Stochastic Optimization
  18 Nov 2020 0 repositories listed
• Improving Offline Contextual Bandits with Distributional Robustness
  13 Nov 2020 0 repositories listed
• Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory
  12 Nov 2020 0 repositories listed
• Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
  11 Nov 2020 0 repositories listed
• Neural Network Compression Via Sparse Optimization
  10 Nov 2020 0 repositories listed
• Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
  9 Nov 2020 0 repositories listed
• Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning
  28 Oct 2020 0 repositories listed
• Stochastic Optimization with Laggard Data Pipelines
  26 Oct 2020 0 repositories listed
• Graph-Homomorphic Perturbations for Private Decentralized Learning
  23 Oct 2020 0 repositories listed
• How Data Augmentation affects Optimization for Linear Regression
  21 Oct 2020 0 repositories listed
• Dual Averaging is Surprisingly Effective for Deep Learning Optimization
  20 Oct 2020 0 repositories listed
• AlphaZero Based Post-Storm Repair Crew Dispatch for Distribution Grid Restoration
  14 Oct 2020 0 repositories listed
• Regret minimization in stochastic non-convex learning via a proximal-gradient approach
  13 Oct 2020 0 repositories listed
• Online Learning and Distributed Control for Residential Demand Response
  11 Oct 2020 0 repositories listed
• Three-Dimensional Swarming Using Cyclic Stochastic Optimization
  11 Oct 2020 0 repositories listed
• Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm
  3 Oct 2020 0 repositories listed
• Deep FPF: Gain function approximation in high-dimensional setting
  2 Oct 2020 0 repositories listed
• Variance-Reduced Methods for Machine Learning
  2 Oct 2020 0 repositories listed