Oct 20, 2020

Few-shot Domain Adaptation by Causal Mechanism Transfer
T. Teshima, I. Sato, and M. Sugiyama
Yiwei Lu
zoom (Tu 9-12)
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title: Few-shot Domain Adaptation by Causal Mechanism Transfer
author: Takeshi Teshima, Issei Sato, Masashi Sugiyama
presenter: Hossein Keshavarz
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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
pre-record or zoom (preferred time) : Zoom (Th 9-12)

Oct 27, 2020

title: Causal Modeling for Fairness In Dynamical Systems
author: Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel
presenter: Haonan Duan
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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
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title: CXPlain: Causal Explanations for Model Interpretation under Uncertainty
author: Patrick Schwab and Walter Karlen
presenter: Wanxin Li
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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
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title: Causal Structure Learning
author: Heinze-Deml, Christina and Maathuis, Marloes H. and Meinshausen, Nicolai
presenter: Ashish Gaurav
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title: Counterfactual Fairness
author: Kusner, Matt J and Loftus, Joshua and Russell, Chris and Silva, Ricardo
presenter: Shadong Liu
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title: Does mitigating ML’s impact disparity require treatment disparity?
author: Zachary C. Lipton, Alexandra Chouldechova, Julian McAuley
presenter: Hauton Tsang
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title: The estimation of causal effects from observational data author: Winship, Christopher and Morgan, Stephen L. presenter: Yisheng Zhu pre-record or zoom (preferred time): 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
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title: Conditional Independence in Statistical Theory
author: A. P. Dawid
presenter: Daniel Herman
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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
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title: Learning Representations for Counterfactual Inference
author: Fredrik Johansson, Uri Shalit, David Sontag
presenter: Jheng-Hong Yang
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title: Robust Multi-agent Counterfactual Prediction
author: Alexander Peysakhovich, Christian Kroer, Adam Lerer
presenter: Alireza Vezvaei
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title: Probabilistic evaluation of sequential plans from causal models with hidden variables
authors: Judea Pearl, James Robins
presenter: Dahlia Shehata
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title: Ivy: Instrumental Variable Synthesis for Causal Inference
author: Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo C´ordova-Palomera, Jared Dunnmon, James Priest, and Christopher R´
presenter: Xiaoyu Wen
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