Date: 02-02-2021
Inside CMSA’s Big Data Conference: Prof. Susan Athey (Stanford)
Professor Susan Athey discusses her research on big data and machine learning, and her CMSA Big Data conference talk, “Machine Learning and Causal Inference for Policy Evaluation.” Her talk discusses the use of machine learning techniques to evaluate policies in social science applications and medicine. http://cmsa.fas.harvard.edu/big-data/
Date: 02-02-2021
Inside CMSA’s Big Data Conference: Prof. Ronitt Rubinfeld (MIT, CSAIL)
Professor Ronitt Rubinfeld discusses her research on big data and her upcoming CMSA Big Data conference talk, “Something for almost nothing: sublinear time approximation algorithms.” Prof. Rubinfeld’s talk begins at 2:45 pm on August 26, 2015 in Harvard University’s Science Center Hall C. http://cmsa.fas.harvard.edu/big-data/
Date: 01-02-2021
Inside CMSA’s Big Data Conference: Prof. Ryan Adams (Twitter Cortex & Harvard University)
Professor Ryan Adams on his CMSA Big Data conference talk, “Exact Markov Chain Monte Carlo with Large Data.” http://cmsa.fas.harvard.edu/big-data/
Date: 01-02-2021
Inside CMSA’s Big Data Conference: Prof. Jelani Nelson (Harvard University)
Professor Jelani Nelson sat down with us to discuss his upcoming talk at CMSA’s Big Data conference. His talk is titled, “Dimensionality reductions via sparse matrices,” and will take place at 4:30 pm on August 26, 2015 in Harvard University’s Science Center Hall C. http://cmsa.fas.harvard.edu/big-data/
Date: 12-04-2019
Math Science Lectures in Honor of Raoul Bott: Mina Aganagic, UC Berkeley:2: Lesson on Knot Categorification
Date: 11-04-2019
Math Science Lectures in Honor of Raoul Bott: Mina Aganagic, UC Berkeley: 1: Lesson on Integrability
On April 9 and 10, 2019 the CMSA hosted two lectures by Mina Aganagic (UC Berkeley). This was the second annual Math Science Lecture Series held in honor of Raoul Bott. “Two math lessons from string theory” Lecture 1: “Lesson on Integrability”