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"

18 / 18 papers shown

Title
Inference with the Upper Confidence Bound Algorithm K. Khamaru Cun-Hui Zhang 53 0 0 08 Aug 2024
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 33 0 0 14 Apr 2024
Replicability is Asymptotically Free in Multi-armed Bandits Junpei Komiyama Shinji Ito Yuichi Yoshida Souta Koshino 40 1 0 12 Feb 2024
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning Weidong Liu Jiyuan Tu Yichen Zhang Xi Chen OffRL 29 2 0 04 Oct 2023
Design-Based Inference for Multi-arm Bandits D. Ham Iavor Bojinov Michael Lindon M. Tingley 39 1 0 27 Feb 2023
Entropy Regularization for Population Estimation Ben Chugg Peter Henderson Jacob Goldin Daniel E. Ho 33 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 31 5 0 15 Dec 2021
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 32 7 0 25 Oct 2021
Metalearning Linear Bandits by Prior Update Amit Peleg Naama Pearl Ron Meir 42 18 0 12 Jul 2021
Near-optimal inference in adaptive linear regression K. Khamaru Y. Deshpande Tor Lattimore Lester W. Mackey Martin J. Wainwright 35 16 0 05 Jul 2021
Deeply-Debiased Off-Policy Interval Estimation C. Shi Runzhe Wan Victor Chernozhukov R. Song OffRL 30 36 0 10 May 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 30 10 0 22 Mar 2021
Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing Yining Wang Xi Chen Xiangyu Chang Dongdong Ge 33 15 0 16 Mar 2020
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis Y. Deshpande Adel Javanmard M. Mehrabi AI4TS 39 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 24 4 0 11 Oct 2019
Mitigating Bias in Adaptive Data Gathering via Differential Privacy Seth Neel Aaron Roth FedML 13 36 0 06 Jun 2018
Estimation Considerations in Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 34 69 0 19 Nov 2017
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 120 160 0 17 Jan 2013