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Upcoming Events

Past Events

MAY
17
2022
Dissertation Defense
Assessment of Privacy Risks in Mobile and Web Applications
Duc Bui
2:30pm – 4:30pm in 3725 Beyster Building
MAY
06
2022
Theory Seminar
Haotian Jiang: Minimizing Convex Functions with Integral/Rational Minimizers
3:00pm – 4:00pm in 3725 Beyster Building
MAY
05
2022
Dissertation Defense
Application-Aware Scheduling in Deep Learning Software Stacks
Peifeng Yu
10:00am – 12:00pm in Remote/Virtual
APR
29
2022
Dissertation Defense
Dynamic Connectivity, Hopsets, and Byzantine Agreement
Shang-En Huang
9:30am – 11:30am in 4941 Beyster Building
APR
28
2022
Faculty Candidate Seminar
Faster, smarter, and greener systems for data-center scale AI
Udit Gupta, Ph.D. Candidate, Harvard University
10:30am – 11:30am in Remote/Virtual
APR
27
2022
Dissertation Defense
Advancing Digital Safety for High-Risk Communities
Allison McDonald
1:30pm – 3:30pm in Remote/Virtual
APR
26
2022
Dissertation Defense
The Value Equivalence Principle for Model-Based Reinforcement Learning
Christopher Grimm
1:00pm – 3:00pm in 3725 Beyster Building
APR
25
2022
EECS Seminar
Learning Mid-Level Vision from Natural Data
Stella Yu, Director of Vision Group, International Computer Science Institute
10:30am – 11:30am in 3725 Beyster Building
APR
22
2022
Theory Seminar
Mitali Bafna: Playing Unique Games on Certifiable Small-Set Expanders and High-Dimensional Expanders
Mitali Bafna
3:00pm – 4:00pm in 3725 Beyster Building
APR
20
2022
Theory Seminar
Parth Mittal: Brooks’ Theorem in Graph Streams
Parth Mittal
3:00pm – 4:00pm
APR
20
2022
CSE Seminar
Scalable and Provably Robust Algorithms for Machine Learning
Yu Cheng, Assistant Professor, University of Illinois Chicago
10:30am – 11:30am in 3725 Beyster Building
APR
19
2022
CSE Seminar
Responsible Design of Information Access Systems
Fernando Diaz, Research Scientist, Google
10:30am – 11:30am in 3725 Beyster Building
APR
18
2022
Faculty Candidate Seminar
Learning to Generate Data by Estimating Gradients of the Data Distribution
Yang Song, Ph.D. Candidate, Stanford University
10:30am – 11:30am in Remote/Virtual
APR
15
2022
Theory Seminar
Huacheng Yu: TBD
Huacheng Yu
3:00pm – 4:00pm in 3725 Beyster Building
APR
14
2022
Faculty Candidate Seminar
Beyond ISAs: Striking a Balance between Generality and Specialization for AI/ML
Divya Mahajan, Senior Researcher, Microsoft
10:30am – 11:30am in 3725 Beyster Building
APR
12
2022
Dissertation Defense
Context-Aware Detection and Resolution of Data Anomalies for Semi-Autonomous Cyber-Physical Systems
Chun-Yu Chen
2:30pm – 4:30pm in Remote/Virtual
APR
12
2022
Dissertation Defense
On Addressing the Problem of Discovery for Reinforcement Learning
Vivek Veeriah
2:00pm – 4:00pm in Remote/Virtual
APR
11
2022
Dissertation Defense
Augmenting Structure with Text for Improved Graph Learning
Tara Safavi
10:30am – 12:30pm in Remote/Virtual
APR
11
2022
CSE Seminar
Fighting Vulnerabilities With Process, Insight, and Automation
Zhiyun Qian, Associate Professor, University of California, Riverside
10:30am – 11:30am in 3725 Beyster Building
APR
08
2022
Other Event
Friday Night AI | Faster than COVID: Can AI Predict a Disease’s Next Move?
Jenna Wiens, Associate Professor ,
U-M CSE, Michigan AI
Karandeep Singh, Assistant Professor ,
Michigan Medicine
7:00pm – 8:00pm in Remote/Virtual
APR
08
2022
Theory Seminar
Max Hopkins: Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments
Max Hopkins
3:00pm – 4:00pm in 3725 Beyster Building
APR
05
2022
Faculty Candidate Seminar
Unleashing the Potential of In-Network Computing
Daehyeok Kim, Senior Researcher, Microsoft
10:30am – 11:30am in 3725 Beyster Building
APR
04
2022
Distinguished Lecture
Algorithms: A Random Walk
Nikhil Bansal, Patrick C. Fischer Professor of Theoretical Computer Science, University of Michigan
3:30pm – 5:30pm in Johnson Rooms, Lurie Engineering Center (3rd floor)
APR
04
2022
Computer Engineering Seminar
Generalizing the ISA to the ILA: A Software/Hardware Interface for Accelerator-rich Platforms
Sharad Malik, Professor, Princeton University
12:30pm – 1:30pm in 3725 Beyster Building
APR
04
2022
Faculty Candidate Seminar
Towards a Foundation for Reinforcement Learning
Ruosong Wang, Ph.D. Candidate, Carnegie Mellon University
10:30am – 11:30am in Remote/Virtual
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