Cover Image

Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Slivkins, Aleksandrs, Zhou, Xingyu, Sankararaman, Karthik Abinav, Foster, Dylan J.
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Introduction to Multi-Armed Bandits
by: Slivkins, Aleksandrs
Published: (2019)

Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
by: Slivkins, Aleksandrs, et al.
Published: (2025)

Exploration and Persuasion
by: Slivkins, Aleksandrs
Published: (2024)

Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)

Can large language models explore in-context?
by: Krishnamurthy, Akshay, et al.
Published: (2024)

Should You Use Your Large Language Model to Explore or Exploit?
by: Harris, Keegan, et al.
Published: (2025)

Incentivized Exploration via Filtered Posterior Sampling
by: Kalvit, Anand, et al.
Published: (2024)

Competing Bandits: The Perils of Exploration Under Competition
by: Aridor, Guy, et al.
Published: (2020)

Adaptive Discretization against an Adversary: Lipschitz bandits, Dynamic Pricing, and Auction Tuning
by: Podimata, Chara, et al.
Published: (2020)

Bandit Social Learning: Exploration under Myopic Behavior
by: Banihashem, Kiarash, et al.
Published: (2023)

Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
by: Lucier, Brendan, et al.
Published: (2023)

Competing Bandits in Decentralized Contextual Matching Markets
by: Parikh, Satush, et al.
Published: (2024)

Contextual Bandits with Stage-wise Constraints
by: Pacchiano, Aldo, et al.
Published: (2024)

Scalable Online Exploration via Coverability
by: Amortila, Philip, et al.
Published: (2024)

Generalized Parallel Scaling with Interdependent Generations
by: Dong, Harry, et al.
Published: (2025)

Bandit Social Learning with Exploration Episodes
by: Banihashem, Kiarash, et al.
Published: (2026)

Impact of Decentralized Learning on Player Utilities in Stackelberg Games
by: Donahue, Kate, et al.
Published: (2024)

Incentivizing Exploration with Selective Data Disclosure
by: Immorlica, Nicole, et al.
Published: (2018)

A Simple Reduction Scheme for Constrained Contextual Bandits with Adversarial Contexts via Regression
by: Sarkar, Dhruv, et al.
Published: (2026)

Neural Contextual Bandits Under Delayed Feedback Constraints
by: Moghimi, Mohammadali, et al.
Published: (2025)

A Contextual Combinatorial Bandit Approach to Negotiation
by: Li, Yexin, et al.
Published: (2024)

Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
by: Huang, Xinmeng, et al.
Published: (2023)

Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints
by: Das, Udvas, et al.
Published: (2024)

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
by: Gorla, Aditya, et al.
Published: (2025)

Exploration via Feature Perturbation in Contextual Bandits
by: Yi, Seouh-won, et al.
Published: (2025)

Scaling Federated Linear Contextual Bandits via Sketching
by: Yang, Hantao, et al.
Published: (2026)

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
by: Kang, Yue, et al.
Published: (2025)

Sparse Nonparametric Contextual Bandits
by: Flynn, Hamish, et al.
Published: (2025)

Preference Optimization with Multi-Sample Comparisons
by: Wang, Chaoqi, et al.
Published: (2024)

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
by: Goyal, Tanmay, et al.
Published: (2025)

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
by: van Erven, Tim, et al.
Published: (2025)

Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
by: Ouyang, Jiangrong, et al.
Published: (2026)

Linear Contextual Bandits with Interference
by: Xu, Yang, et al.
Published: (2024)

Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewards
by: Guo, Xin, et al.
Published: (2026)

Contextual Bandits for Unbounded Context Distributions
by: Zhao, Puning, et al.
Published: (2024)

Neural Exploitation and Exploration of Contextual Bandits
by: Ban, Yikun, et al.
Published: (2023)

Uncertainty of Joint Neural Contextual Bandit
by: Guo, Hongbo, et al.
Published: (2024)

Contextual Linear Bandits with Delay as Payoff
by: Zhang, Mengxiao, et al.
Published: (2025)

Group-Sensitive Offline Contextual Bandits
by: Guo, Yihong, et al.
Published: (2025)

Multiplayer Information Asymmetric Contextual Bandits
by: Chang, William, et al.
Published: (2025)