Fall 2018

Robust and High-Dimensional Statistics

Oct. 29Nov. 2, 2018

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Andrea Montanari (Stanford University; chair), Emmanuel Candès (Stanford University), Ilias Diakonikolas (University of Southern California), Santosh Vempala (Georgia Institute of Technology)

This workshop will focus on recent developments in high-dimensional statistics, with an emphasis on different notions of robustness, the extent to which recent developments in theoretical computer science can lead to improvements with respect to traditional statistical metrics, challenges arising when the number of data points and the number of features diverge at similar rates, etc.  Other potential topics are inference and causality, as well as inference after selection, i.e., data snooping and problems of multiple inference. 

Invited Participants: 

Ery Arias-Castro (UC San Diego), Sivaraman Balakrishnan (Carnegie Mellon University), Laura Balzano (University of Michigan), Jelena Bradic (UC San Diego), Peter Bühlmann (ETH Zürich), Emmanuel Candes (Stanford University), Moses Charikar (Stanford University), Ken Clarkson (IBM Almaden), Ilias Diakonikolas (University of Southern California), John Duchi (Stanford University), Zhou Fan (Yale University), Vitaly Feldman (Google), Chao Gao (University of Chicago), Rong Ge (Duke University), Samuel Hopkins (UC Berkeley), Adel Javanmard (USC), G Kamath (Massachusetts Institute of Technology), Daniel Kane (UC San Diego), Ravi Kannan (Microsoft Research India), Adam Klivans (University of Texas at Austin), Gilad Lerman (University of Minnesota), Jerry Li (Massachusetts Institute of Technology), Po-Ling Loh (University of Wisconsin, Madison), Lester Mackey (Microsoft Research), Yury Makarychev (Toyota Technological Institute at Chicago), Ankur Moitra (MIT), Andrea Montanari (Stanford University), Sayan Mukherjee (Duke University), Boaz Nadler (Weizmann Institute of Science), Deanna Needell (University of California, Los Angeles), Anup B. Rao (Adobe), Philippe Rigollet (MIT), Chiara Sabatti (Stanford University), Sujay Sanghavi (University of Texas at Austin), Andrew Saxe (Oxford University, UK), Alistair Stewart (University of Southern California), Weijie Su (University of Pennsylvania), Pragya Sur (Stanford University), Santosh Vempala (Georgia Institute of Technology), Aravindan Vijayaraghavan (Northwestern University)