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October 1 @ 11:00 - 12:00
Title and abstract coming soon…
Adam R. Klivans, Professor of Computer Science at the University of Texas at Austin and Director of the NSF AI Institute for Foundations of Machine Learning (IFML), is a leading researcher in theoretical computer science whose work has profoundly shaped the foundations of modern machine learning. His research explores the complexity-theoretic limits of efficient learning, with major contributions to agnostic learning, noise-tolerant algorithms, and high-dimensional statistical inference, while also advancing the study of pseudorandomness and circuit complexity to uncover structural insights that inform the design of robust learning algorithms. By developing rigorous frameworks for understanding what can and cannot be learned efficiently, his work bridges computational complexity and machine learning, influencing both the theoretical landscape and the development of practical algorithms for real-world data. Dr. Klivans is a recipient of the NSF CAREER Award, has served on editorial boards for leading journals in theoretical computer science and machine learning, and has taken on program committee leadership roles at premier conferences such as COLT and FOCS, contributing both as a scholar and as a mentor to the next generation of researchers in machine learning and computational complexity.
Zoom: https://bit.ly/TILOS-Seminars
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The TILOS Horizons for Optimization in AI ("HOT-AI") Workshop will bring together leading researchers and practitioners to explore the evolving landscape of optimization for AI—and how AI itself is reshaping optimization. Over two days of engaging talks and interactive discussions participants will dive into cutting-edge research, share insights, and exchange ideas on the most pressing challenges and opportunities at the intersection of these fields.
Thursday, April 17 | 8:30am - 4:30pm
*** THURSDAY SCHEDULE ***
Friday, April 18 | 8:30am - 4:00pm
*** FRIDAY SCHEDULE ***
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TILOS (the NSF National AI Institute for Learning-enabled Optimization at Scale) will hold its 4th Annual Industry Day on June 2, 2025, at the Halıcıoğlu Data Science Institute at UC San Diego, the campus hub for data science. TILOS Industry Day features (1) talks from invited industry speakers sharing their perspectives on challenges in AI + Optimization + Use domains (chips, robotics, networking), (2) research highlights from TILOS team members, and (3) most importantly, a vibrant TILOS trainee poster session (30+ posters) together with a "Facebook" of students and postdocs (a booklet of these trainees).
The schedule and registration link will be available soon. View the 2024 agenda here.
Monday, June 2, 2025
Detailed schedule will be available soon.
Halıcıoğlu Data Science Institute Room 123
University of California, San Diego
3234 Matthews Lane
La Jolla, CA 92093
[MAP]
