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Coffee break, posters, and 1-on-1 discussions
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 · Khizar Qureshi · Rahul Ladhania · Gota Morishita · Paul Welle

Sat Dec 14 03:45 PM -- 04:30 PM (PST) @
in “Do the right thing”: machine learning and causal inference for improved decision making »

Author Information

Julius von Kügelgen (University of Cambridge and Max Planck Institute for Intelligent Systems)

I am a PhD student with Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems in Tübingen. As part of the Cambridge-Tübingen programme I am also co-supervised by Adrian Weller at the University of Cambridge, where I spent the first year of my PhD. My research interests lie at the intersection of causal inference and machine learning. Previously, I studied Mathematics (BSc+MSci) at Imperial College London and Artificial Intelligence (MSc) at UPC Barcelona in Spain and at TU Delft in the Netherlands. I am originally from the beautiful Hamburg in northern Germany.

David Rohde (Criteo)
Candice Schumann (University of Maryland)
Grace Charles (Surgo Foundation)
Victor Veitch (Columbia University)
Vira Semenova (MIT)
Mert Demirer (MIT)
Vasilis Syrgkanis (Microsoft Research)
Suraj Nair (Stanford University)
Aahlad Puli (NYU)
Masatoshi Uehara (Harvard University)
Aditya Gopalan (Indian Institute of Science)
Yi Ding (University of Chicago)
Ignavier Ng (University of Toronto)
Khashayar Khosravi (Stanford University)
Eli Sherman (Johns Hopkins University)
Shuxi Zeng (Duke University)

I am a third year Ph.D. candidate in Statistical Science, Duke University. I obtained B.A. in Economics and B.S. in Mathematics from Tsinghua University, China. My research interest lies in the field of causal inference. I currently work on principal stratification, causal mechanism detection, applying deep learning techniques to causal analysis.

Aleksander Wieczorek (University of Basel)
Hao Liu (Caltech)
Kyra Gan (Carnegie Mellon University)
Jason Hartford (University of British Columbia)
Miruna Oprescu (Microsoft Research)
Alexander D'Amour (Google Brain)
Jörn Boehnke (UC Davis)
Yuta Saito (Tokyo Institute of Technology)

I am a fourth year undergraduate at Tokyo Institute of Technology. My research lies at the intersection of machine learning and causal inference called counterfactual machine learning. I am interested in the counterfactual nature of logged bandit feedback obtained from interactive systems, and ways of using biased real-world datasets to assist better decision making. Most recently, I have been focusing on the intersection of counterfactual machine learning and unsupervised domain adaptation.

Théophile Griveau-Billion (Imperial College London)
Chirag Modi (UC Berkeley)
Shyngys Karimov (University of Leuven)
Jeroen Berrevoets (Vrije Universiteit Brussel)
Logan Graham (University of Oxford)
Imke Mayer (CMAP / CNRS)
Dhanya Sridhar (Columbia University)
Issa Dahabreh (Brown)
Alan Mishler (CMU)
Duncan Wadsworth (Microsoft)
Khizar Qureshi (MIT)
Rahul Ladhania (University of Pennsylvania)
Gota Morishita (CyberAgent.Inc.)

I am Gota Morishita. I work for Cyberagent, inc. as researcher. My interest is causal machine learning, reinforcement learning and game theoretical multi agent learning.

Paul Welle (Civis Analytics)

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