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Spectral Representation Learning for Conditional Moment Models

29 October 2022

Papers citing "Spectral Representation Learning for Conditional Moment Models"

43 / 43 papers shown

Title
Spectral Representation for Causal Estimation with Hidden Confounders Zhaolin Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 94 3 0 15 Jul 2024
Neural Eigenfunctions Are Structured Representation Learners Zhijie Deng Jiaxin Shi Hao Zhang Peng Cui Cewu Lu Jun Zhu 88 14 0 23 Oct 2022
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions Daniel D. Johnson Ayoub El Hanchi Chris J. Maddison SSL 86 24 0 04 Oct 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 105 32 0 29 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Zhaolin Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 61 44 0 14 Jul 2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions Heiner Kremer Jia-Jie Zhu Krikamol Muandet Bernhard Schölkopf 75 8 0 11 Jul 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces Vladimir Kostic P. Novelli Andreas Maurer C. Ciliberto Lorenzo Rosasco Massimiliano Pontil 61 62 0 27 May 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods Randall Balestriero Yann LeCun SSL 87 135 0 23 May 2022
Fast Instrument Learning with Faster Rates Ziyu Wang Yuhao Zhou Jun Zhu 93 3 0 22 May 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes C. Shi Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 65 26 0 12 Nov 2021
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato Masaaki Imaizumi K. McAlinn Haruo Kakehi Shota Yasui CML 64 5 0 03 Aug 2021
Quasi-Bayesian Dual Instrumental Variable Regression Ziyun Wang Yuhao Zhou Zhaolin Ren Jun Zhu 46 2 0 16 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen Colin Wei Adrien Gaidon Tengyu Ma SSL 77 320 0 08 Jun 2021
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation Liyuan Xu Heishiro Kanagawa Arthur Gretton CML 48 37 0 07 Jun 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 96 18 0 21 May 2021
Sobolev Norm Learning Rates for Conditional Mean Embeddings Prem M. Talwai A. Shameli D. Simchi-Levi 74 11 0 16 May 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction Afsaneh Mastouri Yuchen Zhu Limor Gultchin Anna Korba Ricardo M. A. Silva Matt J. Kusner Arthur Gretton Krikamol Muandet CML 49 63 0 10 May 2021
Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach Nathan Kallus Xiaojie Mao Masatoshi Uehara CML 74 70 0 25 Mar 2021
Learning Deep Features in Instrumental Variable Regression Liyuan Xu Yutian Chen Siddarth Srinivasan Nando de Freitas Arnaud Doucet Arthur Gretton CML OOD 83 71 0 14 Oct 2020
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 84 47 0 01 Oct 2020
Contrastive learning, multi-view redundancy, and linear models Christopher Tosh A. Krishnamurthy Daniel J. Hsu SSL 79 167 0 24 Aug 2020
Predicting What You Already Know Helps: Provable Self-Supervised Learning Jason D. Lee Qi Lei Nikunj Saunshi Jiacheng Zhuo SSL 77 188 0 03 Aug 2020
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach Luofeng Liao You-Lin Chen Zhuoran Yang Bo Dai Zhaoran Wang Mladen Kolar 109 35 0 02 Jul 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 85 123 0 17 Jun 2020
Minimax Estimation of Conditional Moment Models Nishanth Dikkala Greg Lewis Lester W. Mackey Vasilis Syrgkanis 205 103 0 12 Jun 2020
Kernel Conditional Moment Test via Maximum Moment Restriction Krikamol Muandet Wittawat Jitkrittum Jonas M. Kubler 44 25 0 21 Feb 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 69 84 0 10 Feb 2020
Kernel Instrumental Variable Regression Rahul Singh M. Sahani Arthur Gretton 97 174 0 01 Jun 2019
Deep Generalized Method of Moments for Instrumental Variable Analysis Andrew Bennett Nathan Kallus Tobias Schnabel 64 128 0 29 May 2019
Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces Ernesto De Vito Nicole Mücke Lorenzo Rosasco 36 27 0 27 May 2019
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems Oliver J. Maclaren R. Nicholson 58 35 0 04 Apr 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning Sanjeev Arora H. Khandeparkar M. Khodak Orestis Plevrakis Nikunj Saunshi SSL 100 784 0 25 Feb 2019
Orthogonal Statistical Learning Dylan J. Foster Vasilis Syrgkanis 122 172 0 25 Jan 2019
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 144 343 0 06 Jul 2018
Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau Stig Petersen Ashish Agarwal David Barrett Kimberly L. Stachenfeld 99 40 0 06 Jun 2018
Adversarial Generalized Method of Moments Greg Lewis Vasilis Syrgkanis GAN 38 59 0 19 Mar 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 230 815 0 22 Aug 2017
A general approach to posterior contraction in nonparametric inverse problems B. Knapik J. Salomond MedIm 67 32 0 01 Jul 2014
Frequentist coverage of adaptive nonparametric Bayesian credible sets Botond Szabó Van der Vaart V. Zanten 89 159 0 16 Oct 2013
Endogeneity in high dimensions Jianqing Fan Yuan Liao 394 104 0 25 Apr 2012
Quasi-Bayesian analysis of nonparametric instrumental variables models Kengo Kato 169 40 0 10 Apr 2012
Bayesian inverse problems with Gaussian priors B. Knapik A. van der Vaart J. H. Zanten 91 227 0 14 Mar 2011
On rate optimality for ill-posed inverse problems in econometrics Xiaohong Chen M. Reiß 130 126 0 13 Sep 2007