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March 2022

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Online Causal Inference Seminar: Adversarial Monte Carlo Meta-Learning of Conditional Average Treatment Effects
Alex Luedtke (University of Washington)
8:30 am – 9:30 am
 
Clone of Online Causal Inference Seminar: Causal Inference and Measure Construction: Towards a New Model of Measurement
Tyler VanderWeele (Harvard University)
8:30 am – 9:30 am
 
Learning & Games Reading Group: Equilibrium Computation and Machine Learning
Tatjana Chavdorova (UC Berkeley)
11:00 am – 12:30 pm
 
Causality Program Visitor Speaker Series: Partial Counterfactual Identification from Observational and Experimental Data
Jin Tian (Iowa State University)
2:00 pm – 3:00 pm
 
Berkeley Statistics Applications Reading Group
Anish Agarwal (UC Berkeley)
1:30 pm – 2:30 pm
 
Learning & Games Reading Group: Learning in the Presence of Strategic Behavior
10:00 am – 11:30 am
 
Learning & Games Visitor Speaker Series: Offline-to-Online Transformation via Blackwell Approachability
Negin Golrezaei (MIT)
2:00 pm – 3:00 pm
 
Statistical Theory of Causal Estimation Working Group
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
3:30 pm – 4:30 pm
 
Causal Learning Applications Reading Group
10:00 am – 11:00 am
 
Thinking Like a Journalist — Science Communicator in Residence Talk
Nathaniel Popper (Science Communicator in Residence, Simons Institute)
2:00 pm – 3:00 pm
 
 
 
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Causality Reading Group: Causal Discovery
10:00 am – 11:30 am
 
Causality Reading Group: Algebraic Aspects of Graphical Models
1:00 pm – 2:00 pm
 
Richard M. Karp Distinguished Lecture — Causality and Autoencoders in Light of Drug Repurposing for COVID-19
Caroline Uhler (MIT)
4:00 pm – 5:00 pm
 
Online Causal Inference Seminar: Adversarial Monte Carlo Meta-Learning of Conditional Average Treatment Effects
Alex Luedtke (University of Washington)
8:30 am – 9:30 am
 
Clone of Online Causal Inference Seminar: Causal Inference and Measure Construction: Towards a New Model of Measurement
Tyler VanderWeele (Harvard University)
8:30 am – 9:30 am
 
Learning & Games Reading Group: Equilibrium Computation and Machine Learning
Jason Milionis (Columbia)
11:00 am – 12:30 pm
 
Causality Program Visitor Speaker Series: Optimal Adjustment Sets in Non-parametric Causal Graphical Models
Andrea Rotnitzky (Di Tella University, Buenos Aires, Argentina)
2:00 pm – 3:00 pm
 
Theoretically Speaking — Monitoring People and Their Vital Signs Using Radio Signals and Machine Learning
Dina Katabi (MIT)  (Speaker presenting remotely)
11:00 am – 12:15 pm
 
Berkeley Statistics Applications Reading Group
Eaman Jahani (UC Berkeley)
1:30 pm – 2:30 pm
 
Learning & Games Reading Group: Learning in the Presence of Strategic Behavior
Emilio Calvano (University of Rome - Tor Vergata)
10:00 am – 11:30 am
 
The Impact of National Service on Beliefs, Mindsets, and Life Pathways: Evidence from Teach For America
Cecilia Hyunjung Mo (UC Berkeley)
11:00 am – 12:00 pm
 
Learning & Games Visitor Speaker Series
Gauthier Gidel (Université de Montréal)
2:00 pm – 3:00 pm
 
Statistical Theory of Causal Estimation Working Group
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
3:30 pm – 4:30 pm
 
Causal Learning Applications Reading Group
10:00 am – 11:00 am
 
Causality Program Visitor Speaker Series: Efficient Intervention Design for Causal Discovery with Latents
Shiva Kasivisvanathan (Amazon)
2:00 pm – 3:00 pm
 
 
 
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Data Privacy: Foundations and Applications Reunion Mar. 14 – Mar. 18, 2022
 
 
 
Causality Reading Group: Causal Discovery
10:00 am – 11:30 am
 
Causality Reading Group: Algebraic Aspects of Graphical Models
1:00 pm – 2:00 pm
 
Online Causal Inference Seminar: Adversarial Monte Carlo Meta-Learning of Conditional Average Treatment Effects
Alex Luedtke (University of Washington)
8:30 am – 9:30 am
 
Clone of Online Causal Inference Seminar: Causal Inference and Measure Construction: Towards a New Model of Measurement
Tyler VanderWeele (Harvard University)
8:30 am – 9:30 am
 
Learning & Games Reading Group: Equilibrium Computation and Machine Learning
Noah Golowich (MIT) and Chen-yu Wei (USC)
11:00 am – 12:30 pm
 
Causality Program Visitor Speaker Series: Byzantine Agreement and the Detection of Fraudulent Behaviour
Valerie King (University of Victoria)
2:00 pm – 3:00 pm
 
Online Causal Representation Learning Reading Group
Jeff Adams
11:00 am – 12:00 pm
 
Berkeley Statistics Applications Reading Group
Arman Sabbaghi (Purdue) Lauren Liao (UC Berkeley)
1:30 pm – 2:30 pm
 
Simons Fellows Seminar Series: Minimax-Optimal Policy Learning and Evaluation under Unobserved Confounding
Angela Zhou (Simons Institute)
3:30 pm – 4:30 pm
 
Learning & Games Reading Group: Learning in the Presence of Strategic Behavior
Korinna Frangias (UC Berkeley) and Ellen Vitercik (Carnegie Mellon University)
10:00 am – 11:30 am
 
Learning & Games Visitor Speaker Series: Higher-Order Learning in Games and Feedback Control
Jeff Shamma (University of Illinois at Urbana-Champaign)
2:00 pm – 3:00 pm
 
Statistical Theory of Causal Estimation Working Group
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
3:30 pm – 4:30 pm
 
Causal Learning Applications Reading Group
10:00 am – 11:00 am
 
Causality Program Visitor Speaker Series: A General Metric of Dynamical Similarity: Overview of the Dynamical Symmetry Approach to Causal Discovery
Benjamin Jantzen (Virginia Tech)
2:00 pm – 3:00 pm
 
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Algorithmic Aspects of Causal Inference Mar. 21 – Mar. 24, 2022
 
Academic & Administrative Holiday
 
 
 
 
Learning & Games Reading Group: Equilibrium Computation and Machine Learning
Vidya Muthukumar (Georgia Institute of Technology) and Ioannis Panageas (UC Irvine)
11:00 am – 12:30 pm
 
Learning and Games Special Reading Group Talk: Robust and Adaptive Online Decision Making
Chen-yu Wei (University of Southern California)
2:00 pm – 3:00 pm
 
Simons Fellows Seminar Series: Learning & Decision-Making in Societal Systems: Theory, Algorithms, and Design Eric Mazumdar (Caltech)
 
Learning & Games Visitor Speaker Series
Vidya Muthukumar (Georgia Institute of Technology)
2:00 pm – 3:00 pm
 
 
Theoretically Speaking — Opportunities for the Application of Quantitative Models in a Fully Integrated Healthcare System
Noam Barda (Harvard, Tel-HaShomer Medical Center and Ben-Gurion University) Noa Dagan (Harvard, Clalit Research Institute and Ben-Gurion University)
3:30 pm – 5:00 pm
 
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Learning in the Presence of Strategic Behavior Mar. 28 – Apr. 1, 2022
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Causality Reading Group: Causal Discovery
Ankur Ankan and Johannes Textor
10:00 am – 11:30 am
 
Causality Reading Group: Algebraic Aspects of Graphical Models
1:00 pm – 2:00 pm
 
Online Causal Inference Seminar: Adversarial Monte Carlo Meta-Learning of Conditional Average Treatment Effects
Alex Luedtke (University of Washington)
8:30 am – 9:30 am
 
Clone of Online Causal Inference Seminar: Causal Inference and Measure Construction: Towards a New Model of Measurement
Tyler VanderWeele (Harvard University)
8:30 am – 9:30 am
 
Causality Program Visitor Speaker Series: Causal Inference for Brain Trauma: Leveraging Incomplete Observational Data and RCT
Julie Josse (Inria)
2:00 pm – 3:00 pm
 
Online Causal Representation Learning Reading Group
Dhanya Sridhar
11:00 am – 12:00 pm
 
Berkeley Statistics Applications Reading Group
Melody Huang (UC Berkeley)
1:30 pm – 2:30 pm
 
 
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