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Workshop
“Do the right thing”: machine learning and causal inference for improved decision making
Michele Santacatterina · Thorsten Joachims · Nathan Kallus · Adith Swaminathan · David Sontag · Angela Zhou

Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West Ballroom C
Event URL: http://tripods.cis.cornell.edu/neurips19_causalml/ »

In recent years, machine learning has seen important advances in its theoretical and practical domains, with some of the most significant applications in online marketing and commerce, personalized medicine, and data-driven policy-making. This dramatic success has led to increased expectations for autonomous systems to make the right decision at the right target at the right time. This gives rise to one of the major challenges of machine learning today that is the understanding of the cause-effect connection. Indeed, actions, intervention, and decisions have important consequences, and so, in seeking to make the best decision, one must understand the process of identifying causality. By embracing causal reasoning autonomous systems will be able to answer counterfactual questions, such as “What if I had treated a patient differently?”, and “What if had ranked a list differently?” thus helping to establish the evidence base for important decision-making processes.

The purpose of this workshop is to bring together experts from different fields to discuss the relationships between machine learning and causal inference and to discuss and highlight the formalization and algorithmization of causality toward achieving human-level machine intelligence.

This purpose will guide the makeup of the invited talks and the topics for the panel discussions. The panel discussions will tackle controversial topics, with the intent of drawing out an engaging intellectual debate and conversation across fields.

This workshop will lead to advance and extend knowledge on how machine learning could be used to conduct causal inference, and how causal inference could support the development of machine learning methods for improved decision-making.

Sat 8:45 a.m. - 9:00 a.m.
Opening Remarks
Thorsten Joachims · Nathan Kallus · Michele Santacatterina · Adith Swaminathan · David Sontag · Angela Zhou
Sat 9:00 a.m. - 9:30 a.m.
Susan Athey (Presentation)
Susan Athey
Sat 9:30 a.m. - 10:00 a.m.
Andrea Rotnitzky (Presentation)
Andrea Rotnitzky
Sat 10:00 a.m. - 10:15 a.m.

Poster spotlights ID: 10, 11, 16, 17, 20, 24, 31

 Hong Namkoong · Marie Charpignon · Maja Rudolph · Amanda Coston · Yuta Saito · Paramveer Dhillon · Alex Markham
Sat 10:15 a.m. - 11:00 a.m.
Coffee break, posters, and 1-on-1 discussions (Break)
Yangyi Lu · Daniel Chen · Hong Namkoong · Marie Charpignon · Maja Rudolph · Amanda Coston · Julius von Kügelgen · Niranjani Prasad · Paramveer Dhillon · Yunzong Xu · Yixin Wang · Alex Markham · David Rohde · Rahul Singh · Vincent Zhang · Negar Hassanpour · Ankit Sharma · Ciarán Lee · Jean Pouget-Abadie · Jesse Krijthe · Divyat Mahajan · Nan Ke · Peter Wirnsberger · Vira Semenova · Dmytro Mykhaylov · Dennis Shen · Kenta Takatsu · Liyang Sun · Jeremy Yang · Alexander Franks · Paco, Pak-Kan Wong · Tauhid Zaman · Shira Mitchell · min kyoung kang · Qi Yang
Sat 11:00 a.m. - 11:30 a.m.
Susan Murphy (Presentation)
Susan Murphy
Sat 11:30 a.m. - 12:00 p.m.
Ying-Qi Zhao (Presentation)
Ying-Qi Zhao
Sat 12:00 p.m. - 12:45 p.m.
(Panel discussion)

Tentative topic: How machine learning, and causal inference work together: cross-pollination and new challenges.
Sat 12:45 p.m. - 2:30 p.m.
Lunch (Break)
Sat 2:30 p.m. - 3:00 p.m.
Susan Shortreed (Presentation)
Susan Shortreed
Sat 3:00 p.m. - 3:15 p.m.
(Presentation)

Oral Spotlights ID: 8,9, 27

 Daniel Chen · Jörn Boehnke · Yixin Wang · Pietro Bonaldi
Sat 3:15 p.m. - 3:30 p.m.
(Presentation)

Oral Spotlights ID: 57, 93, 113

 Divyat Mahajan · Khashayar Khosravi · Alexander D'Amour
Sat 3:30 p.m. - 3:45 p.m.

Poster Spotlights ID: 34, 35, 39, 50, 56, 68, 75, 111, 112

 Théophile Griveau-Billion · Rahul Singh · Vincent Zhang · Ciarán Lee · Jesse Krijthe · Grace Charles · Vira Semenova · Rahul Ladhania · Miruna Oprescu
Sat 3:45 p.m. - 4:30 p.m.
Coffee break, posters, and 1-on-1 discussions (Break)
Julius von Kügelgen · David Rohde · Candice Schumann · Grace Charles · Victor Veitch · Vira Semenova · Mert Demirer · Vasilis Syrgkanis · Suraj Nair · Aahlad Puli · Masatoshi Uehara · Aditya Gopalan · Yi Ding · Ignavier Ng · Khashayar Khosravi · Eli Sherman · Shuxi Zeng · Aleksander Wieczorek · Hao Liu · Kyra Gan · Jason Hartford · Miruna Oprescu · Alexander D'Amour · Jörn Boehnke · Yuta Saito · Théophile Griveau-Billion · Chirag Modi · Shyngys Karimov · Jeroen Berrevoets · Logan Graham · Imke Mayer · Dhanya Sridhar · Issa Dahabreh · Alan Mishler · Duncan Wadsworth · Kai Qureshi · Rahul Ladhania · Gota Morishita · Paul Welle
Sat 5:00 p.m. - 5:15 p.m.
Closing Remarks

Author Information

Michele Santacatterina (TRIPODS Center for Data Science - Cornell University)
Thorsten Joachims (Cornell)
Nathan Kallus (Cornell University)
Adith Swaminathan (Microsoft Research)
David Sontag (MIT)
Angela Zhou (Cornell University)

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