Seminar 217, Risk Management: Sparse Low Rank Dictionary Learning11 a.m.-1 p.m.
Sharp threshold for K4-percolation3:10-4 p.m.
Stochastic First-Order Methods in Data Analysis and Reinforcement Learning4-5 p.m.
Center for Computational Biology Seminar4:30-5:30 p.m.
LaTeX: Creating Tables, Figures, and Bibliographies4-5 p.m.
Yong Zeng NSF Funding Opportunities Related to Data Science3:30-5 p.m.
Seminar 217, Risk Management: Social Finance and the Postmodern Portfolio: Theory and Practice11 a.m.-1 p.m.
Matrix Concentration for Expander Walks3:10-4 p.m.
Phase transitions in random constraint satisfaction problems4-5 p.m.
Seminar 217, Risk Management: Change-point detection for stochastic processes11 a.m.-1 p.m.
Adaptation via convex optimization in two nonparametric estimation problems4-5 p.m.
Jacobs Design Conversations: Eric Rodenbeck, "Telling Stories with Data"12-1 p.m.
Seminar 217, Risk Management: Machine Learning and Alternative Data in Fundamental-based Quantitative Equity11 a.m.-1 p.m.
Life 3.0: Being Human in the Age of Artificial Intelligence3:30-4:30 p.m.
Berkeley Distinguished Lectures in Data Science4:10-5 p.m.
Invertibility and condition number of sparse random matrices3:10-4 p.m.
Negative Dependence and Sampling in Machine Learning4-5 p.m.
GraphXD Seminar5:30-7 p.m.