Cover Image

Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Neopane, Ojash, Ramdas, Aaditya, Singh, Aarti
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
by: Neopane, Ojash, et al.
Published: (2025)

Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
by: Agrawal, Shubhada, et al.
Published: (2025)

An Asymptotic Law of the Iterated Logarithm for $\mathrm{KL}_{\inf}$
by: Ram, Ashwin, et al.
Published: (2026)

Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret
by: Agrawal, Shubhada, et al.
Published: (2026)

Stronger Neyman Regret Guarantees for Adaptive Experimental Design
by: Noarov, Georgy, et al.
Published: (2025)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)

Logarithmic Regret of Exploration in Average Reward Markov Decision Processes
by: Boone, Victor, et al.
Published: (2025)

Semiparametric Efficient Inference in Adaptive Experiments
by: Cook, Thomas, et al.
Published: (2023)

Conformal online model aggregation
by: Gasparin, Matteo, et al.
Published: (2024)

Online Selective Conformal Prediction: Errors and Solutions
by: Sale, Yusuf, et al.
Published: (2025)

Operationalizing Stein's Method for Online Linear Optimization: CLT-Based Optimal Tradeoffs
by: Zhang, Zhiyu, et al.
Published: (2026)

Improving the statistical efficiency of cross-conformal prediction
by: Gasparin, Matteo, et al.
Published: (2025)

Density estimation with atoms, and functional estimation for mixed discrete-continuous data
by: Saha, Aytijhya, et al.
Published: (2025)

Distribution-free root cause analysis
by: Hore, Rohan, et al.
Published: (2026)

Distribution-free changepoint localization after sequential change detection
by: Saha, Aytijhya, et al.
Published: (2026)

Conformal changepoint localization
by: Hore, Rohan, et al.
Published: (2026)

Gradient descent for deep equilibrium single-index models
by: Dandapanthula, Sanjit, et al.
Published: (2025)

On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
by: Agrawal, Shubhada, et al.
Published: (2025)

Sequential Kernelized Stein Discrepancy
by: Martinez-Taboada, Diego, et al.
Published: (2024)

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
by: Melnychuk, Valentyn, et al.
Published: (2025)

A variational approach to dimension-free self-normalized concentration
by: Chugg, Ben, et al.
Published: (2025)

Theoretical guarantees for change localization using conformal p-values
by: Bhattacharyya, Swapnaneel, et al.
Published: (2025)

Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance
by: Wang, Hongjian, et al.
Published: (2023)

The optimal betting wealth growth rate
by: Ram, Ashwin, et al.
Published: (2026)

Locally minimax optimal confidence sets for the best model
by: Kim, Ilmun, et al.
Published: (2025)

Power one sequential tests exist for weakly compact $\mathscr P$ against $\mathscr P^c$
by: Ram, Ashwin, et al.
Published: (2026)

Dimension-agnostic inference using cross U-statistics
by: Kim, Ilmun, et al.
Published: (2020)

Post-detection inference for sequential changepoint localization
by: Saha, Aytijhya, et al.
Published: (2025)

Asymptotically optimal sequential change detection for bounded means
by: Ram, Ashwin, et al.
Published: (2026)

Optimal sequential tests yield log-optimal e-processes
by: Ram, Ashwin, et al.
Published: (2026)

The extended Ville's inequality for nonintegrable nonnegative supermartingales
by: Wang, Hongjian, et al.
Published: (2023)

Efficient Adaptive Experimental Design for Average Treatment Effect Estimation
by: Kato, Masahiro, et al.
Published: (2020)

Logarithmic Regret for Nonlinear Control
by: Wang, James, et al.
Published: (2025)

Sharp Matrix Empirical Bernstein Inequalities
by: Wang, Hongjian, et al.
Published: (2024)

Online monotone density estimation and log-optimal calibration
by: Hore, Rohan, et al.
Published: (2026)

Combining Evidence Across Filtrations
by: Choe, Yo Joong, et al.
Published: (2024)

Sample Efficient Preference Alignment in LLMs via Active Exploration
by: Mehta, Viraj, et al.
Published: (2023)

A Permutation-free Kernel Two-Sample Test
by: Shekhar, Shubhanshu, et al.
Published: (2022)

A unified recipe for deriving (time-uniform) PAC-Bayes bounds
by: Chugg, Ben, et al.
Published: (2023)

Logarithmic Regret for Online KL-Regularized Reinforcement Learning
by: Zhao, Heyang, et al.
Published: (2025)