{"total":41,"rows":[{"id":"2102.06933","title":"Revisiting Smoothed Online Learning","created":"2021-02-13","cited_by_count":29,"area":null},{"id":"2110.13116","title":"Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds","created":"2021-10-25","cited_by_count":20,"area":null},{"id":"2302.02552","title":"Adapting to Continuous Covariate Shift via Online Density Ratio Estimation","created":"2023-02-06","cited_by_count":15,"area":null},{"id":"2309.08911","title":"Efficient Methods for Non-stationary Online Learning","created":"2023-09-16","cited_by_count":15,"area":null},{"id":"2102.07666","title":"A closer look at temporal variability in dynamic online learning","created":"2021-02-15","cited_by_count":13,"area":null},{"id":"2206.00220","title":"Adaptive Online Learning of Quantum States","created":"2022-06-01","cited_by_count":12,"area":null},{"id":"2212.02603","title":"Learning to Optimize in Model Predictive Control","created":"2022-12-05","cited_by_count":11,"area":null},{"id":"2201.11965","title":"Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints","created":"2022-01-28","cited_by_count":10,"area":null},{"id":"2212.02587","title":"Learning Sampling Distributions for Model Predictive Control","created":"2022-12-05","cited_by_count":10,"area":null},{"id":"2310.18304","title":"A Stability Principle for Learning under Non-Stationarity","created":"2023-10-27","cited_by_count":10,"area":null},{"id":"2101.09438","title":"An Optimal Reduction of TV-Denoising to Adaptive Online Learning","created":"2021-01-23","cited_by_count":9,"area":null},{"id":"2211.14720","title":"Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints","created":"2022-11-27","cited_by_count":9,"area":null},{"id":"2106.06526","title":"Online Continual Adaptation with Active Self-Training","created":"2021-06-11","cited_by_count":8,"area":null},{"id":"2205.00446","title":"Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments","created":"2022-05-01","cited_by_count":6,"area":null},{"id":"2205.00741","title":"Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor","created":"2022-05-02","cited_by_count":6,"area":null},{"id":"2108.02307","title":"Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function","created":"2021-08-04","cited_by_count":5,"area":null},{"id":"2209.01608","title":"Dynamic Regret of Adaptive Gradient Methods for Strongly Convex Problems","created":"2022-09-04","cited_by_count":4,"area":null},{"id":"2301.09808","title":"On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization","created":"2023-01-24","cited_by_count":4,"area":null},{"id":"2302.12320","title":"Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems","created":"2023-02-23","cited_by_count":4,"area":null},{"id":"2505.13564","title":"Online Decision-Focused Learning","created":"2025-05-19","cited_by_count":4,"area":null},{"id":"2602.08372","title":"Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer","created":"2026-02-09","cited_by_count":4,"area":null},{"id":"2310.11880","title":"Online Convex Optimization with Switching Cost and Delayed Gradients","created":"2023-10-18","cited_by_count":3,"area":null},{"id":"2202.12843","title":"Dynamic Regret of Online Mirror Descent for Relatively Smooth Convex Cost Functions","created":"2022-02-25","cited_by_count":2,"area":null},{"id":"2409.10470","title":"Online Nonconvex Bilevel Optimization with Bregman Divergences","created":"2024-09-16","cited_by_count":2,"area":null},{"id":"2112.12134","title":"A Unified Analysis Method for Online Optimization in Normed Vector Space","created":"2021-12-22","cited_by_count":1,"area":null},{"id":"2204.04722","title":"Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch","created":"2022-04-10","cited_by_count":1,"area":null},{"id":"2401.01077","title":"Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions","created":"2024-01-02","cited_by_count":1,"area":null},{"id":"2405.02497","title":"Prediction techniques for dynamic imaging with online primal-dual methods","created":"2024-05-03","cited_by_count":1,"area":null},{"id":"2405.11397","title":"Preparing for Black Swans: The Antifragility Imperative for Machine Learning","created":"2024-05-18","cited_by_count":1,"area":null},{"id":"2609.20968","title":"From Switching to Dynamic Regret: A Simple Reduction via Unbiased Random Sequences","created":"2026-09-17","cited_by_count":1,"area":null},{"id":"2609.34423","title":"On the Relation Between Interval Regret and Dynamic Regret","created":"2026-09-28","cited_by_count":1,"area":null},{"id":"2110.12239","title":"Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL","created":"2021-10-23","cited_by_count":0,"area":null},{"id":"2203.14520","title":"Optimistic Online Convex Optimization in Dynamic Environments","created":"2022-03-28","cited_by_count":0,"area":null},{"id":"2301.07530","title":"Online (Non-)Convex Learning via Tempered Optimism","created":"2023-01-18","cited_by_count":0,"area":null},{"id":"2302.00997","title":"Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning","created":"2023-02-02","cited_by_count":0,"area":null},{"id":"2302.06066","title":"Universal Online Optimization in Dynamic Environments via Uniclass Prediction","created":"2023-02-13","cited_by_count":0,"area":null},{"id":"2412.12944","title":"Online optimisation for dynamic electrical impedance tomography","created":"2024-12-17","cited_by_count":0,"area":null},{"id":"2512.13506","title":"Learning under Distributional Drift: Prequential Reproducibility as an Intrinsic Statistical Resource","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2606.29092","title":"Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2607.17607","title":"Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2610.20187","title":"Dimension-Optimal Dynamic Regret in Exp-Concave Online Learning","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}