Accurate Inference for Adaptive Linear Models

Accurate Inference for Adaptive Linear Models

18 December 2017

Lester W. Mackey

Vasilis Syrgkanis

Papers citing "Accurate Inference for Adaptive Linear Models"

11 / 11 papers shown

Title
Inference with the Upper Confidence Bound Algorithm K. Khamaru Cun-Hui Zhang 32 0 0 08 Aug 2024
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 29 0 0 14 Apr 2024
Replicability is Asymptotically Free in Multi-armed Bandits Junpei Komiyama Shinji Ito Yuichi Yoshida Souta Koshino 21 1 0 12 Feb 2024
Entropy Regularization for Population Estimation Ben Chugg Peter Henderson Jacob Goldin Daniel E. Ho 26 3 0 24 Aug 2022
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization Tong Li Jacob Nogas Haochen Song Harsh Kumar A. Durand Anna N. Rafferty Nina Deliu S. Villar Joseph Jay Williams 18 5 0 15 Dec 2021
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 17 7 0 25 Oct 2021
Metalearning Linear Bandits by Prior Update Amit Peleg Naama Pearl Ron Meir 32 18 0 12 Jul 2021
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments Joseph Jay Williams Jacob Nogas Nina Deliu Hammad Shaikh S. Villar A. Durand Anna N. Rafferty AAML 22 10 0 22 Mar 2021
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis Y. Deshpande Adel Javanmard M. Mehrabi AI4TS 28 31 0 04 Nov 2019
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond A. Banerjee Qilong Gu V. Sivakumar Zhiwei Steven Wu 14 4 0 11 Oct 2019
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 99 160 0 17 Jan 2013