Colloquium Spring 2021

All Spring 2021 CS Colloquium talks will be held online. Links to join the talks will be distributed using the colloquium mailing list.

Upcoming Events

MAR 8
11AM, Online
Reliable Machine Learning in Feedback Systems
Sarah Dean, University of California, Berkeley
MAR 9
12PM, Online
Sublinear Algorithms for Massive Datasets
Erik Waingarten, Stanford University
MAR 10
11AM, Online
The Generalizability and Interpretability of Neural Language Models
Urvashi Khandelwal, Stanford University
MAR 11
10AM, Online
Algorithms for Markets: Matching Under Uncertainty
Mahsa Derakhshan, University of Maryland
MAR 11
12:30PM, Online
The Societal Impacts of Algorithmic Decision-Making
Manish Raghavan, Cornell University
MAR 15
12PM, Online
Fusion for Robot Perception and Controls
Michelle Lee, Stanford University
MAR 16
11:30AM, Online
Data Structures and Algorithms in Sublinear Computation
Huacheng Yu, Princeton University
MAR 18
11AM, Online
TBA
Kalesha Bullard, Georgia Institute of Technology
MAR 22
11AM, Online
TBA
Dani Yogatama, DeepMind
MAR 23
9AM, Online
TBA
Alekh Agarwal
MAR 24
11AM, Online
TBA
Wilko Schwarting, MIT
MAR 25
10AM, Online
TBA
Marshall Ball, University of Washington
MAR 29
9AM, Online
TBA
Fraser Brown, Stanford University
MAR 30
11:30AM, Online
TBA
Josh Alman, Harvard University
APR 1
10AM, Online
Probabilistic proofs: theory, hardware, and everything in between
Riad S. Wahby, Stanford University

MAR 3
11:30AM, Online
Understanding Human-Centric Sides of Deep AI Models
Bolei Zhou, Chinese University of Hong Kong
MAR 1
9AM, Online
Steps towards making machine learning more natural
Mengye Ren, University of Toronto
FEB 24
12PM, Online
Advancements and Challenges for Deep Learning in Medical Imaging
Pranav Rajpurkar, Stanford University