Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Bhuyan, Neelkamal, Mukherjee, Debankur, Wierman, Adam |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Decentralized Smoothed Online Convex Optimization
by: Bhuyan, Neelkamal, et al.
Published: (2024)
by: Bhuyan, Neelkamal, et al.
Published: (2024)
SCaLE: Switching Cost aware Learning and Exploration
by: Bhuyan, Neelkamal, et al.
Published: (2026)
by: Bhuyan, Neelkamal, et al.
Published: (2026)
Beyond Non-Degeneracy: Revisiting Certainty Equivalent Heuristic for Online Linear Programming
by: Chen, Yilun, et al.
Published: (2025)
by: Chen, Yilun, et al.
Published: (2025)
Online Smoothed Demand Management
by: Lechowicz, Adam, et al.
Published: (2025)
by: Lechowicz, Adam, et al.
Published: (2025)
Active Learning for Non-Parametric Choice Models
by: Susan, Fransisca, et al.
Published: (2022)
by: Susan, Fransisca, et al.
Published: (2022)
Online Stochastic Packing with General Correlations
by: Cetin, Sabri, et al.
Published: (2025)
by: Cetin, Sabri, et al.
Published: (2025)
Non-Euclidean High-Order Smooth Convex Optimization
by: Contreras, Juan Pablo, et al.
Published: (2024)
by: Contreras, Juan Pablo, et al.
Published: (2024)
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
by: Tarzanagh, Davoud Ataee, et al.
Published: (2022)
by: Tarzanagh, Davoud Ataee, et al.
Published: (2022)
Optimal Bounds for Adversarial Constrained Online Convex Optimization
by: Ferreira, Ricardo N., et al.
Published: (2025)
by: Ferreira, Ricardo N., et al.
Published: (2025)
Online Convex Optimization with Switching Cost with Only One Single Gradient Evaluation
by: Shah, Harsh, et al.
Published: (2025)
by: Shah, Harsh, et al.
Published: (2025)
Competitive Online Optimization under Inventory Constraints
by: Lin, Qiulin, et al.
Published: (2019)
by: Lin, Qiulin, et al.
Published: (2019)
Online Fair Allocation with Best-of-Many-Worlds Guarantees
by: Yang, Zongjun, et al.
Published: (2024)
by: Yang, Zongjun, et al.
Published: (2024)
Online Linear Programming with Replenishment
by: Chen, Yuze, et al.
Published: (2026)
by: Chen, Yuze, et al.
Published: (2026)
Availability is all you need: achieving optimal regret with minimal information for dynamic matching
by: Kerimov, Süleyman, et al.
Published: (2025)
by: Kerimov, Süleyman, et al.
Published: (2025)
Asymptotics of solutions to the linear search problem
by: Heinonen, Robin A.
Published: (2026)
by: Heinonen, Robin A.
Published: (2026)
Dynamic Resource Allocation: Algorithmic Design Principles and Spectrum of Achievable Performances
by: Besbes, Omar, et al.
Published: (2022)
by: Besbes, Omar, et al.
Published: (2022)
Infrequent Resolving Algorithm for Online Linear Programming
by: Li, Guokai, et al.
Published: (2024)
by: Li, Guokai, et al.
Published: (2024)
Online Resource Allocation with Convex-set Machine-Learned Advice
by: Golrezaei, Negin, et al.
Published: (2023)
by: Golrezaei, Negin, et al.
Published: (2023)
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
by: Grigorescu, Elena, et al.
Published: (2024)
by: Grigorescu, Elena, et al.
Published: (2024)
A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives
by: Grigorescu, Elena, et al.
Published: (2024)
by: Grigorescu, Elena, et al.
Published: (2024)
Non-Stationary Online Resource Allocation: Learning from a Single Sample
by: Feng, Yiding, et al.
Published: (2026)
by: Feng, Yiding, et al.
Published: (2026)
Multi-LLM Query Optimization
by: Dean, Arlen, et al.
Published: (2026)
by: Dean, Arlen, et al.
Published: (2026)
Negative Momentum for Convex-Concave Optimization
by: Shugart, Henry, et al.
Published: (2026)
by: Shugart, Henry, et al.
Published: (2026)
Distributionally Robust Optimization with Adversarial Data Contamination
by: Li, Shuyao, et al.
Published: (2025)
by: Li, Shuyao, et al.
Published: (2025)
Convex Optimization with Nested Evolving Feasible Sets
by: M., Karthick Krishna, et al.
Published: (2026)
by: M., Karthick Krishna, et al.
Published: (2026)
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
by: Shi, Wanli, et al.
Published: (2024)
by: Shi, Wanli, et al.
Published: (2024)
Min-Max Optimization Is Strictly Easier Than Variational Inequalities
by: Shugart, Henry, et al.
Published: (2025)
by: Shugart, Henry, et al.
Published: (2025)
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
by: Jambulapati, Arun, et al.
Published: (2024)
by: Jambulapati, Arun, et al.
Published: (2024)
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective
by: Diakonikolas, Jelena, et al.
Published: (2024)
by: Diakonikolas, Jelena, et al.
Published: (2024)
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
by: Cai, Yang, et al.
Published: (2022)
by: Cai, Yang, et al.
Published: (2022)
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
by: Zhang, Hongyang R., et al.
Published: (2023)
by: Zhang, Hongyang R., et al.
Published: (2023)
Differentiable Extensions with Rounding Guarantees for Combinatorial Optimization over Permutations
by: Nerem, Robert R., et al.
Published: (2024)
by: Nerem, Robert R., et al.
Published: (2024)
Importance Sparsification for Sinkhorn Algorithm
by: Li, Mengyu, et al.
Published: (2023)
by: Li, Mengyu, et al.
Published: (2023)
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
by: Kook, Yunbum, et al.
Published: (2023)
by: Kook, Yunbum, et al.
Published: (2023)
Optimal Scalarizations for Sublinear Hypervolume Regret
by: Zhang, Qiuyi
Published: (2023)
by: Zhang, Qiuyi
Published: (2023)
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time
by: Gu, Yuzhou, et al.
Published: (2023)
by: Gu, Yuzhou, et al.
Published: (2023)
Gradient Testing and Estimation by Comparisons
by: Tao, Xiwen, et al.
Published: (2024)
by: Tao, Xiwen, et al.
Published: (2024)
Learning to Schedule in Parallel-Server Queues with Stochastic Bilinear Rewards
by: Kim, Jung-hun, et al.
Published: (2021)
by: Kim, Jung-hun, et al.
Published: (2021)
Constrained and Composite Sampling via Proximal Sampler
by: Dang, Thanh, et al.
Published: (2026)
by: Dang, Thanh, et al.
Published: (2026)
Complexity of Classical Acceleration for $\ell_1$-Regularized PageRank
by: Fountoulakis, Kimon, et al.
Published: (2026)
by: Fountoulakis, Kimon, et al.
Published: (2026)
Similar Items
-
Optimal Decentralized Smoothed Online Convex Optimization
by: Bhuyan, Neelkamal, et al.
Published: (2024) -
SCaLE: Switching Cost aware Learning and Exploration
by: Bhuyan, Neelkamal, et al.
Published: (2026) -
Beyond Non-Degeneracy: Revisiting Certainty Equivalent Heuristic for Online Linear Programming
by: Chen, Yilun, et al.
Published: (2025) -
Online Smoothed Demand Management
by: Lechowicz, Adam, et al.
Published: (2025) -
Active Learning for Non-Parametric Choice Models
by: Susan, Fransisca, et al.
Published: (2022)