Timezone: »
Contributed talk 2
Divyat Mahajan · Khashayar Khosravi · Alexander D'Amour
Sat Dec 14 03:15 PM -- 03:30 PM (PST) @
Oral Spotlights ID: 57, 93, 113
Author Information
Divyat Mahajan (Microsoft Research)
I am a Research Fellow at Microsoft Research Lab India, where I work with Amit Sharma on Machine Learning and Causal Inference. Prior to joining MSR, I completed my undergraduate double major program in Mathematics and Computer Science from the Indian Institute of Technology, Kanpur. Interests: Machine Learning | Causal Inference | Explainability, Generalization and Robustness in Deep Learning
Khashayar Khosravi (Stanford University)
Alexander D'Amour (Google Brain)
More from the Same Authors
-
2020 : Does Domain Generalization Provide Inherent Membership Privacy »
Divyat Mahajan -
2021 : Maintaining fairness across distribution shifts: do we have viable solutions for real-world applications? »
Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Katherine Heller · Alexander D'Amour -
2022 : Tailored Overlap for Learning Under Distribution Shift »
David Bruns-Smith · Alexander D'Amour · Avi Feller · Steve Yadlowsky -
2022 : Interventional Causal Representation Learning »
Kartik Ahuja · Yixin Wang · Divyat Mahajan · Yoshua Bengio -
2022 : Interventional Causal Representation Learning »
Kartik Ahuja · Yixin Wang · Divyat Mahajan · Yoshua Bengio -
2022 : Interventional Causal Representation Learning »
Kartik Ahuja · Yixin Wang · Divyat Mahajan · Yoshua Bengio -
2022 Poster: Diagnosing failures of fairness transfer across distribution shift in real-world medical settings »
Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Krista Opsahl-Ong · Alexander Brown · Subhrajit Roy · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Alan Karthikesalingam · Katherine Heller · Silvia Chiappa · Alexander D'Amour -
2019 : 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 -
2019 : Coffee break, posters, and 1-on-1 discussions »
Yangyi Lu · Daniel Chen · Hongseok Namkoong · Marie Charpignon · Maja Rudolph · Amanda Coston · Julius von Kügelgen · Niranjani Prasad · Paramveer Dhillon · Yunzong Xu · Yixin Wang · Alexander Markham · David Rohde · Rahul Singh · Zichen Zhang · Negar Hassanpour · Ankit Sharma · Ciarán Lee · Jean Pouget-Abadie · Jesse Krijthe · Divyat Mahajan · Nan Rosemary Ke · Peter Wirnsberger · Vira Semenova · Dmytro Mykhaylov · Dennis Shen · Kenta Takatsu · Liyang Sun · Jeremy Yang · Alexander Franks · Pak Kan Wong · Tauhid Zaman · Shira Mitchell · min kyoung kang · Qi Yang -
2019 : Molecules and Genomes »
David Haussler · Djork-Arné Clevert · Michael Keiser · Alan Aspuru-Guzik · David Duvenaud · David Jones · Jennifer Wei · Alexander D'Amour