:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mahrooghi, Ilia, Moradi, Mahshad, Akbari, Sina, Kiyavash, Negar
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.05661
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding
by: Jamshidi, Fateme, et al.
Published: (2025)

Recursive Causal Discovery
by: Mokhtarian, Ehsan, et al.
Published: (2024)

Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
by: Kivva, Yaroslav, et al.
Published: (2025)

Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
by: Jamshidi, Fateme, et al.
Published: (2025)

Best Group Identification in Multi-Objective Bandits
by: Shahverdikondori, Mohammad, et al.
Published: (2025)

Confounded Budgeted Causal Bandits
by: Jamshidi, Fateme, et al.
Published: (2024)

Graph Learning Is Suboptimal in Causal Bandits
by: Shahverdikondori, Mohammad, et al.
Published: (2025)

Fast Proxy Experiment Design for Causal Effect Identification
by: Elahi, Sepehr, et al.
Published: (2024)

Active Context Selection Improves Simple Regret in Contextual Bandits
by: Shahverdikondori, Mohammad, et al.
Published: (2026)

Non-linear Triple Changes Estimator for Targeted Policies
by: Akbari, Sina, et al.
Published: (2024)

Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning
by: Mahrooghi, Ilia, et al.
Published: (2026)

Multi-Domain Causal Discovery in Bijective Causal Models
by: Jalaldoust, Kasra, et al.
Published: (2025)

QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
by: Shahverdikondori, Mohammad, et al.
Published: (2024)

Semiparametric Triple Difference Estimators
by: Akbari, Sina, et al.
Published: (2025)

Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
by: Sharifian, Ehsan, et al.
Published: (2025)

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
by: Yang, Yuqin, et al.
Published: (2023)

s-ID: Causal Effect Identification in a Sub-Population
by: Abouei, Amir Mohammad, et al.
Published: (2023)

Causally Abstracted Multi-armed Bandits
by: Zennaro, Fabio Massimo, et al.
Published: (2024)

Deceptive Exploration in Multi-armed Bandits
by: Vurankaya, I. Arda, et al.
Published: (2025)

Pure Exploration Beyond Reward Feedback: The Role of Post-Action Context
by: Shahverdikondori, Mohammad, et al.
Published: (2025)

Replicability is Asymptotically Free in Multi-armed Bandits
by: Komiyama, Junpei, et al.
Published: (2024)

Maximal Objectives in the Multi-armed Bandit with Applications
by: Ozbay, Eren, et al.
Published: (2020)

Offline Learning for Combinatorial Multi-armed Bandits
by: Liu, Xutong, et al.
Published: (2025)

Hierarchical Reinforcement Learning with Targeted Causal Interventions
by: Khorasani, Sadegh, et al.
Published: (2025)

Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
by: Masiha, Saeed, et al.
Published: (2026)

Causal Effect Identification in a Sub-Population with Latent Variables
by: Abouei, Amir Mohammad, et al.
Published: (2024)

Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
by: Boushehrian, Arefe, et al.
Published: (2026)

Transfer Learning for Contextual Multi-armed Bandits
by: Cai, Changxiao, et al.
Published: (2022)

Fairness of Exposure in Online Restless Multi-armed Bandits
by: Sood, Archit, et al.
Published: (2024)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

Causal Effect Identification in LiNGAM Models with Latent Confounders
by: Tramontano, Daniele, et al.
Published: (2024)

Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
by: Tramontano, Daniele, et al.
Published: (2025)

Locally Private Nonparametric Contextual Multi-armed Bandits
by: Ma, Yuheng, et al.
Published: (2025)

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
by: Shao, Junning, et al.
Published: (2025)

Multi-agent Multi-armed Bandit with Fully Heavy-tailed Dynamics
by: Wang, Xingyu, et al.
Published: (2025)

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models
by: Xu, Mengfan, et al.
Published: (2025)

Transfer in Sequential Multi-armed Bandits via Reward Samples
by: R, Rahul N, et al.
Published: (2024)

Falcon: Fair Active Learning using Multi-armed Bandits
by: Tae, Ki Hyun, et al.
Published: (2024)

Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
by: Zhou, Kongchang, et al.
Published: (2025)

Optimal Local Convergence Rates of Stochastic First-Order Methods under Local $α$-PL
by: Masiha, Saeed, et al.
Published: (2024)