filmov
tv
Sujay Sanghavi (UT Austin) -- Towards Model Agnostic Robustness
Показать описание
MIFODS - LIDS Seminar.
Cambridge, US
Nov 18, 2019
FODSI
Рекомендации по теме
0:57:30
Sujay Sanghavi (UT Austin) -- Towards Model Agnostic Robustness
0:56:11
Sujay Sanghavi WNCG Seminar: Convex Schmonvex: Dropping Convexity for Faster Matrix Estimation
1:21:11
Towards Model Agnostic Robustness
1:05:15
Sujay Sanghavi on Virtual Foundations of Data Science Series (Mar 27, 2020)
1:12:09
Towards Model Agnostic Robustness
0:00:54
Embedding AI into Wireless Systems and Devices: 2018 Texas Wireless Summit
0:00:51
AI and the Mobile Device: What's new at 2018 Texas Wireless Summit
0:10:40
Texas Wireless Summit History and 2018 update
1:00:48
Panel Session : Future of Data Science Research in Academia
0:17:06
Dropping Convexity for Faster Semi-definite Optimization
0:55:24
Efficient Pre-training @ DLCT
0:04:19
ITA 2015 Poster Session - Srinadh Bhojanapalli, UT Austin
0:58:55
AI Safety Panel Discussion
0:02:28
NIPS2016 Single Pass PCA of Matrix Products
0:23:57
Curie Academy Podcast #1 - Calvin Lin
0:52:01
CS 285: Guest Lecture: Bo Dai
0:45:20
Research and Involvement: Research Topics, Labs, Areas, Faculty, and More
0:01:03
Nishant Sanghavi USC MSBA
1:16:16
SNAPP Seminar || Benjamin Van Roy (Stanford University) || March 8, 2021