Minimax Estimation of Conditional Moment Models

12 June 2020

Papers citing "Minimax Estimation of Conditional Moment Models"

40 / 40 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding Yuhan Li Eugene Han Yifan Hu Wenzhuo Zhou Zhengling Qi Yifan Cui Ruoqing Zhu OffRL 177 0 0 01 May 2025
Detecting clinician implicit biases in diagnoses using proximal causal inference Kara Liu Russ Altman Vasilis Syrgkanis CML 48 0 0 27 Jan 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan CML OOD 74 2 0 31 Dec 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 36 0 0 29 Sep 2024
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 32 1 0 15 Jul 2024
Targeted Sequential Indirect Experiment Design Elisabeth Ailer Niclas Dern Jason S. Hartford Niki Kilbertus 46 1 0 30 May 2024
Two-Stage Nuisance Function Estimation for Causal Mediation Analysis AmirEmad Ghassami AmirEmad Ghassami 26 1 0 31 Mar 2024
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 26 1 0 22 Sep 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments Heiner Kremer Yassine Nemmour Bernhard Schölkopf Jia-Jie Zhu 36 7 0 18 May 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression Junho Kim Byung-Kwan Lee Yonghyun Ro CML AAML 28 18 0 02 Mar 2023
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 36 14 0 10 Feb 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions Zeshan Hussain M. Shih Michael Oberst Ilker Demirel D. Sontag 34 8 0 30 Jan 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 28 4 0 26 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 38 3 0 19 Dec 2022
Minimax Optimal Kernel Operator Learning via Multilevel Training Jikai Jin Yiping Lu Jose H. Blanchet Lexing Ying 26 12 0 28 Sep 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models Rui Miao Zhengling Qi Xiaoke Zhang OffRL 30 10 0 21 Sep 2022
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments Mengxin Yu Zhuoran Yang Jianqing Fan OffRL 21 8 0 23 Aug 2022
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation Anpeng Wu Kun Kuang Ruoxuan Xiong Minqing Zhu Yuxuan Liu Bo Li Furui Liu Zhihua Wang Fei Wu CML 33 7 0 23 Aug 2022
Game-Theoretic Algorithms for Conditional Moment Matching Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu 8 0 0 19 Aug 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 38 15 0 17 Aug 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun 60 6 0 24 Jun 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun OffRL 49 31 0 24 Jun 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 57 22 0 26 May 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus M. Oprescu CML OOD 35 10 0 23 May 2022
Fast Instrument Learning with Faster Rates Ziyu Wang Yuhao Zhou Jun Zhu 29 3 0 22 May 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa David R. Bellamy Thomas Kolokotrones J. M. Robins Andrew L. Beam 39 12 0 19 May 2022
Causal Imitation Learning under Temporally Correlated Noise Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu CML 24 29 0 02 Feb 2022
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects AmirEmad Ghassami Alan Yang David Richardson I. Shpitser E. T. Tchetgen CML 29 17 0 26 Jan 2022
Stochastic Extragradient: General Analysis and Improved Rates Eduard A. Gorbunov Hugo Berard Gauthier Gidel Nicolas Loizou 22 40 0 16 Nov 2021
Causal Inference with Hidden Mediators AmirEmad Ghassami Alan Yang I. Shpitser E. T. Tchetgen 19 6 0 04 Nov 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 30 3 0 30 Sep 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions Amit Sharma Vasilis Syrgkanis Cheng Zhang Emre Kıcıman 24 26 0 27 Aug 2021
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato Masaaki Imaizumi K. McAlinn Haruo Kakehi Shota Yasui CML 47 5 0 03 Aug 2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition Junkun Yuan Anpeng Wu Kun Kuang Bohao Li Runze Wu Fei Wu Lanfen Lin CML 47 38 0 13 Jul 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation Yutian Chen Liyuan Xu Çağlar Gülçehre T. Paine Arthur Gretton Nando de Freitas Arnaud Doucet OffRL 51 18 0 21 May 2021
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding Zhengling Qi Rui Miao Xiaoke Zhang CML 34 28 0 03 May 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning Luofeng Liao Zuyue Fu Zhuoran Yang Yixin Wang Mladen Kolar Zhaoran Wang OffRL 18 34 0 19 Feb 2021
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models Jiafeng Chen Daniel L. Chen Greg Lewis CML 25 15 0 12 Nov 2020
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett Nathan Kallus Lihong Li Ali Mousavi OffRL 35 43 0 27 Jul 2020