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title: Few-shot Domain Adaptation by Causal Mechanism Transfer
author: T. Teshima, I. Sato, and M. Sugiyama
presenter: Yiwei Lu
zoom (Tu 9-12) -
title: Causal Regularization
author: Dominik Janzing
presenter: Jaskirat Singh Bhatia
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title: A General Identification Condition for Causal Effects
author: Jin Tian and Judea Pearl
presenter: Abhinav Jain
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title: Model-Agnostic Counterfactual Explanations for Consequential Decisions
author: Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
presenter: Blake VanBerlo
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title: Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
author: Divyansh Kaushik, Eduard Hovy, Zachary Lipton
presenter: Gaurav Sikri
zoom (Tu 9-12)
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title: Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness author: Raphael Suter, Djordje Miladinovic, Bernhard Schölkopf, Stefan Bauer
presenter: Haonan Duan
zoom (Tu 9-12) -
title: Counterfactuals uncover the modular structure of deep generative models
author: M. Besserve, A. Mehrjou, R. Sun, and B. Schölkopf
presenter: Niki Hasrati
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title: CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
author: Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath
presenter: Dihong Jiang
zoom (Tu 9-12) -
title: CXPlain: Causal Explanations for Model Interpretation under Uncertainty
author: Patrick Schwab and Walter Karlen
presenter: Wanxin Li
pre-record -
title: Counterfactual Fairness in Text Classification through Robustness
author: S. Garg, V. Perot, N. Limtiaco, A. Taly, E. H. Chi, and A. Beutel
presenter: Rudrani Bhadra
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title: Strategic Classification is Causal Modeling in Disguise
author: John Miller, Smitha Milli
presenter: Sharhad Bashar
pre-record
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title: Causal Structure Learning
author: Heinze-Deml, Christina and Maathuis, Marloes H. and Meinshausen, Nicolai
presenter: Ashish Gaurav
Zoom (Tu 9-12) -
title: Counterfactual Fairness
author: Kusner, Matt J and Loftus, Joshua and Russell, Chris and Silva, Ricardo
presenter: Shadong Liu
pre-record -
title: Does mitigating ML’s impact disparity require treatment disparity?
author: Zachary C. Lipton, Alexandra Chouldechova, Julian McAuley
presenter: Hauton Tsang
pre-record -
title: Alleviating Privacy Attacks via Causal Learning
author: Shruti Tople and Amit Sharma and Aditya Nori
presenter: Yisheng Zhu
pre-record -
title: Avoiding Discrimination through Causal Reasoning
author: Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Scholkopf
presenter: Lipsa Mishra
pre-record -
title: DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
author: Nathan Kallus
presenter: Mojtaba Valipour
Zoom (Tu 9-12)
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title: Conditional Independence in Statistical Theory
author: A. P. Dawid
presenter: Daniel Herman
pre-record -
title: The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
author: Amanda Gentzel, Dan Garant, and David Jensen
presenter: Sheng-Chieh Lin
pre-record -
title: Learning Representations for Counterfactual Inference
author: Fredrik Johansson, Uri Shalit, David Sontag
presenter: Jheng-Hong Yang
pre-record -
title: Almost Optimal Intervention Sets for Causal Discovery
author: Frederick Eberhardt
presenter: Alireza Vezvaei
pre-record -
title: Probabilistic evaluation of sequential plans from causal models with hidden variables
authors: Judea Pearl, James Robins
presenter: Dahlia Shehata
pre-record
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title: Ivy: Instrumental Variable Synthesis for Causal Inference
author: Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Cordova-Palomera, Jared Dunnmon, James Priest, and Christopher Re
presenter: Xiaoyu Wen
pre-record -
title: A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
author: Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher Pal
presenter: Hossein Keshavarz
pre-record -
title: Learning Independent Causal Mechanisms
author: Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla, Bernhard Schölkopf
presenter: Joshua Lemmon
pre-record -
title: Identification of Conditional Causal Effects under Markov Equivalence author: A. Jaber, J. Zhang, and E. Bareinboim presenter: Tavian Barnes pre-record
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pre-record or zoom (preferred time)