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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 pre-record or zoom (preferred time) : Zoom (Tu 9-12)

  • 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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Nov 03, 2020

  • title: Causal Structure Learning
    author: Heinze-Deml, Christina and Maathuis, Marloes H. and Meinshausen, Nicolai
    presenter: Ashish Gaurav pre-record or zoom (preferred time): Zoom (Tu 9-12)

  • title: Counterfactual Fairness
    author: Kusner, Matt J and Loftus, Joshua and Russell, Chris and Silva, Ricardo
    presenter: Shadong Liu
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  • 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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Nov 10, 2020

  • title: Conditional Independence in Statistical Theory
    author: A. P. Dawid presenter: Daniel Herman
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  • title: Learning Representations for Counterfactual Inference author: Fredrik Johansson, Uri Shalit, David Sontag presenter: Jheng-Hong Yang pre-record or zoom (preferred time): pre-record

  • title: Robust Multi-agent Counterfactual Prediction
    author: Alexander Peysakhovich, Christian Kroer, Adam Lerer presenter: Alireza Vezvaei pre-record or zoom (preferred time): pre-record

  • title: Probabilistic evaluation of sequential plans from causal models with hidden variables authors: Judea Pearl, James Robins presenter: Dahlia Shehata
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Nov 17, 2020

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