Orthogonal Causal Calibration

4 June 2024

Papers citing "Orthogonal Causal Calibration"

31 / 31 papers shown

Title
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction L. Laan Ahmed Alaa 168 1 0 08 Feb 2025
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 67 30 0 04 Mar 2024
High-Dimensional Prediction for Sequential Decision Making Georgy Noarov Ramya Ramalingam Aaron Roth Stephan Xie OffRL 27 20 0 26 Oct 2023
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 65 4 0 25 Oct 2023
Parity Calibration Youngseog Chung Aaron M. Rumack Chirag Gupta 66 2 0 29 May 2023
Online Platt Scaling with Calibeating Chirag Gupta Aaditya Ramdas 34 5 0 28 Apr 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 61 11 0 27 Feb 2023
The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation Georgy Noarov Aaron Roth 51 4 0 16 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 28 17 0 13 Feb 2023
Multicalibration as Boosting for Regression Ira Globus-Harris Declan Harrison Michael Kearns Aaron Roth Jessica Sorrell 61 24 0 31 Jan 2023
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis CML 23 36 0 06 Oct 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 94 363 0 15 Jun 2021
Distribution-free calibration guarantees for histogram binning without sample splitting Chirag Gupta Aaditya Ramdas 53 38 0 10 May 2021
Semiparametric counterfactual density estimation Edward H. Kennedy Sivaraman Balakrishnan Larry A. Wasserman 104 57 0 24 Feb 2021
Distribution-free binary classification: prediction sets, confidence intervals and calibration Chirag Gupta Aleksandr Podkopaev Aaditya Ramdas UQCV 64 81 0 18 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 125 318 0 29 Apr 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 41 26 0 30 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 95 1,293 0 05 Dec 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 133 352 0 23 Sep 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 148 1,677 0 06 Jun 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks S. Thulasidasan Gopinath Chennupati J. Bilmes Tanmoy Bhattacharya S. Michalak UQCV 68 535 0 27 May 2019
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments Vasilis Syrgkanis Victor Lei Miruna Oprescu Maggie Hei Keith Battocchi Greg Lewis CML 34 71 0 24 May 2019
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 132 110 0 15 May 2019
Orthogonal Statistical Learning Dylan J. Foster Vasilis Syrgkanis 98 170 0 25 Jan 2019
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 54 105 0 14 Sep 2018
Orthogonal Random Forest for Causal Inference Miruna Oprescu Vasilis Syrgkanis Zhiwei Steven Wu CML 28 108 0 09 Jun 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 181 907 0 28 Feb 2018
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers Victor Chernozhukov Whitney Newey Rahul Singh 57 92 0 23 Feb 2018
Quasi-Oracle Estimation of Heterogeneous Treatment Effects Xinkun Nie Stefan Wager CML 112 643 0 13 Dec 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 228 5,774 0 14 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 581 5,748 0 05 Dec 2016