{"total":36,"rows":[{"id":"2205.02160","title":"Making SGD Parameter-Free","created":"2022-05-04","cited_by_count":50,"area":null},{"id":"2203.00444","title":"Parameter-free Mirror Descent","created":"2022-02-26","cited_by_count":45,"area":null},{"id":"2110.14099","title":"Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio","created":"2021-10-27","cited_by_count":43,"area":null},{"id":"2311.03252","title":"Parameter-Agnostic Optimization under Relaxed Smoothness","created":"2023-11-06","cited_by_count":29,"area":null},{"id":"2210.14355","title":"Parameter-free Regret in High Probability with Heavy Tails","created":"2022-10-25","cited_by_count":28,"area":null},{"id":"2102.00236","title":"Parameter-free Stochastic Optimization of Variationally Coherent Functions","created":"2021-01-30","cited_by_count":27,"area":null},{"id":"2201.07877","title":"PDE-Based Optimal Strategy for Unconstrained Online Learning","created":"2022-01-19","cited_by_count":27,"area":null},{"id":"2403.07213","title":"Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits","created":"2024-03-11","cited_by_count":27,"area":null},{"id":"2102.06622","title":"MetaGrad: Adaptation using Multiple Learning Rates in Online Learning","created":"2021-02-12","cited_by_count":26,"area":null},{"id":"2202.06151","title":"Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits","created":"2022-02-12","cited_by_count":22,"area":null},{"id":"2306.00144","title":"Mechanic: A Learning Rate Tuner","created":"2023-05-31","cited_by_count":20,"area":null},{"id":"2308.05621","title":"Normalized Gradients for All","created":"2023-08-10","cited_by_count":20,"area":null},{"id":"2310.10082","title":"A simple uniformly optimal method without line search for convex optimization","created":"2023-10-16","cited_by_count":18,"area":null},{"id":"2102.06593","title":"Pareto Optimal Model Selection in Linear Bandits","created":"2021-02-12","cited_by_count":14,"area":null},{"id":"2202.05630","title":"Scale-free Unconstrained Online Learning for Curved Losses","created":"2022-02-11","cited_by_count":13,"area":null},{"id":"2402.07793","title":"Tuning-Free Stochastic Optimization","created":"2024-02-12","cited_by_count":13,"area":null},{"id":"2402.03126","title":"How Free is Parameter-Free Stochastic Optimization?","created":"2024-02-05","cited_by_count":12,"area":null},{"id":"2402.10898","title":"The Price of Adaptivity in Stochastic Convex Optimization","created":"2024-02-16","cited_by_count":11,"area":null},{"id":"2405.20540","title":"Fully Unconstrained Online Learning","created":"2024-05-30","cited_by_count":10,"area":null},{"id":"2107.03455","title":"Model Selection for Generic Contextual Bandits","created":"2021-07-07","cited_by_count":8,"area":null},{"id":"2203.10327","title":"Implicit Parameter-free Online Learning with Truncated Linear Models","created":"2022-03-19","cited_by_count":8,"area":null},{"id":"2504.13938","title":"Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection","created":"2025-04-15","cited_by_count":8,"area":null},{"id":"2405.19705","title":"Universal Online Convex Optimization with $1$ Projection per Round","created":"2024-05-30","cited_by_count":6,"area":null},{"id":"2102.07521","title":"Distributed Online Learning for Joint Regret with Communication Constraints","created":"2021-02-15","cited_by_count":5,"area":null},{"id":"2103.00284","title":"On the Initialization for Convex-Concave Min-max Problems","created":"2021-02-27","cited_by_count":4,"area":null},{"id":"2105.03681","title":"Universal Online Convex Optimization Meets Second-order Bounds","created":"2021-05-08","cited_by_count":4,"area":null},{"id":"2208.04065","title":"Optimistic Optimisation of Composite Objective with Exponentiated Update","created":"2022-08-08","cited_by_count":3,"area":null},{"id":"2402.13530","title":"Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model","created":"2024-02-21","cited_by_count":3,"area":null},{"id":"2505.24399","title":"LightSAM: Parameter-Agnostic Sharpness-Aware Minimization","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2305.19605","title":"Parameter-free projected gradient descent","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2310.19025","title":"An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits","created":"2023-10-29","cited_by_count":2,"area":null},{"id":"2208.04579","title":"Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives","created":"2022-08-09","cited_by_count":1,"area":null},{"id":"2605.18999","title":"Distance-Aware Muon: Adaptive Step Scaling for Normalized Optimization","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2202.02406","title":"Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting","created":"2022-02-04","cited_by_count":0,"area":null},{"id":"2211.11710","title":"Adaptive Stochastic Optimisation of Nonconvex Composite Objectives","created":"2022-11-21","cited_by_count":0,"area":null},{"id":"2602.11747","title":"High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch","created":"2026-02-12","cited_by_count":0,"area":null}],"next_cursor":null}