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Tutorial
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Mon 1:00 |
Representation Learning Without Labels S. M. Ali Eslami, Irina Higgins, Danilo J. Rezende |
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Tutorial
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Mon 5:00 |
Causal Reinforcement Learning Elias Bareinboim |
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Poster
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Tue 7:00 |
Full Law Identification in Graphical Models of Missing Data: Completeness Results Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser |
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Poster
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Tue 7:00 |
Causal Strategic Linear Regression Yonadav Shavit, Benjamin Edelman, Brian Axelrod |
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Poster
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Tue 7:00 |
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs AmirEmad Ghassami, Alan Yang, Negar Kiyavash, Kun Zhang |
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Poster
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Tue 8:00 |
Invariant Risk Minimization Games Kartik Ahuja, Karthikeyan Shanmugam, Kush Varshney, Amit Dhurandhar |
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Poster
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Tue 8:00 |
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets Daniel Kumor, Carlos Cinelli, Elias Bareinboim |
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Poster
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Tue 9:00 |
Learning and Sampling of Atomic Interventions from Observations Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Ashwin Maran, Vinodchandran N. Variyam |
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Poster
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Tue 9:00 |
Robustness to Spurious Correlations via Human Annotations Megha Srivastava, Tatsunori Hashimoto, Percy Liang |
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Poster
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Tue 9:00 |
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods Wei Zhang, Thomas Panum, Somesh Jha, Prasad Chalasani, David Page |
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Poster
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Tue 9:00 |
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach Junzhe Zhang |
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Poster
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Tue 9:00 |
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments Ali Teshnizi, Saber Salehkaleybar, Negar Kiyavash |
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Poster
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Tue 11:00 |
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs Basil Saeed, Snigdha Panigrahi, Caroline Uhler |
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Poster
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Tue 13:00 |
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery Natasa Tagasovska, Valérie Chavez-Demoulin, Thibault Vatter |
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Poster
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Tue 15:00 |
Invariant Causal Prediction for Block MDPs Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup |
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Poster
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Tue 15:00 |
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation Nathan Kallus, Masatoshi Uehara |
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Poster
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Tue 18:00 |
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models Yuta Saito, Shota Yasui |
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Poster
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Wed 5:00 |
Causal Effect Identifiability under Partial-Observability Sanghack Lee, Elias Bareinboim |
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Poster
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Wed 5:00 |
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies Hengrui Cai, Wenbin Lu, Rui Song |
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Poster
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Wed 5:00 |
Causal Modeling for Fairness In Dynamical Systems Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel |
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Poster
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Wed 5:00 |
Efficient Intervention Design for Causal Discovery with Latents Raghavendra Addanki, Shiva Kasiviswanathan, Andrew McGregor, Cameron Musco |
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Poster
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Wed 8:00 |
Alleviating Privacy Attacks via Causal Learning Shruti Tople, Amit Sharma, Aditya Nori |
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Poster
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Wed 8:00 |
Efficient Policy Learning from Surrogate-Loss Classification Reductions Andrew Bennett, Nathan Kallus |
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Poster
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Wed 8:00 |
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network Javier Turek, Shailee Jain, Vy Vo, Mihai Capotă, Alexander Huth, Theodore Willke |
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Poster
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Wed 10:00 |
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health Liangyu Zhu, Wenbin Lu, Rui Song |
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Poster
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Wed 12:00 |
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus |
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Poster
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Thu 6:00 |
Strategic Classification is Causal Modeling in Disguise John Miller, Smitha Milli, Moritz Hardt |
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Poster
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Thu 6:00 |
Performative Prediction Juan Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt |
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Poster
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Thu 6:00 |
Estimation of Bounds on Potential Outcomes For Decision Making Maggie Makar, Fredrik Johansson, John Guttag, David Sontag |
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Poster
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Thu 6:00 |
Causal Inference using Gaussian Processes with Structured Latent Confounders Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka |
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Poster
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Thu 17:00 |
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou |
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Poster
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Thu 18:00 |
Few-shot Domain Adaptation by Causal Mechanism Transfer Takeshi Teshima, Issei Sato, Masashi Sugiyama |
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Workshop
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Fri 1:00 |
5th ICML Workshop on Human Interpretability in Machine Learning (WHI) Adrian Weller, Alice Xiang, Amit Dhurandhar, Been Kim, Dennis Wei, Kush Varshney, Umang Bhatt |
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Workshop
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Fri 6:00 |
ICML 2020 Workshop on Computational Biology Delasa Aghamirzaie, Alexander Anderson, Elham Azizi, Abdoulaye Baniré Diallo, Cassandra Burdziak, Jill Gallaher, Anshul Kundaje, Dana Pe'er, Sandhya Prabhakaran, Amine Remita, Mark Robertson-Tessi, Wesley Tansey, Julia Vogt, Yubin Xie |
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Workshop
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Fri 12:40 |
Invited Talk: Feedback in Imitation Learning: Confusion on Causality and Covariate Shift (Arun Venkatraman & Sanjiban Choudhury) Sanjiban Choudhury, Arun Venkatraman |
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Workshop
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Sat 3:00 |
Inductive Biases, Invariances and Generalization in Reinforcement Learning Anirudh Goyal, Rosemary Nan Ke, Jane Wang, Theophane Weber, Fabio Viola, Bernhard Schölkopf, Stefan Bauer |
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Workshop
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Sat 5:50 |
Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond Jian Tang, Le Song, Jure Leskovec, Renjie Liao, Yujia Li, Sanja Fidler, Richard Zemel, Ruslan Salakhutdinov |