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Joint IFML/MPG Symposium
Location
Calvin Lab auditorium
Date
Monday, Nov. 18
–
Wednesday, Nov. 20, 2024
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Workshop & Symposia
Joint IFML/MPG Symposium
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The Workshop
Schedule
(active tab)
All talks listed in Pacific Time. Schedule subject to change.
Monday, Nov. 18, 2024
9
–
9:25 a.m.
Coffee and Check In
9:25
–
9:30 a.m.
Opening Remarks
9:30
–
10:10 a.m.
Learning from Dynamics
Ankur Moitra (Massachusetts Institute of Technology)
10:10
–
10:45 a.m.
Testing Noise Assumptions of Learning Algorithms
Arsen Vasilyan (Simons Institute)
10:45
–
11:10 a.m.
Break
11:10
–
11:40 a.m.
The Truth About Your Lying Calibrated Forecaster: How to Design Truthful Calibration Measures
Nika Haghtalab (UC Berkeley)
11:40 a.m.
–
12:30 p.m.
Talk by
Ali Kavis (UT Austin)
12:30
–
2:30 p.m.
Lunch (on your own)
2:30
–
3:10 p.m.
Data curation for LLM Pre-training and Post-Training: Creating massive datasets for the AI open-source community with the Datacomp project.
Alex Dimakis (UT Austin)
3:10
–
3:45 p.m.
Bypassing the Impossibility of Online Learning Thresholds: Unbounded Losses and Transductive Priors
Nikita Zhivotovskiy (UC Berkeley)
Tuesday, Nov. 19, 2024
9
–
9:30 a.m.
Coffee and Check In
9:30
–
10:10 a.m.
Revisiting Scalarization in Multi-Task Learning
Han Zhao (University of Illinois Urbana-Champaign)
10:10
–
10:45 a.m.
Understanding Contrastive Learning and Self-training
Sujay Sanghavi (UT Austin and Amazon)
10:45
–
11 a.m.
Break
11
–
11:40 a.m.
Omnipredicting Single-Index Models with Multi-Index Models
Kevin Tian (UT Austin)
11:40 a.m.
–
12:30 p.m.
Talk by
Tselil Schramm (Stanford University)
12:30
–
2:30 p.m.
Poster Session and Appetizers
2:30
–
4 p.m.
Beyond Decoding: Meta-Generation Algorithms for Large Language Models (Remote Talk)
Sean Welleck (Carnegie Mellon University)
4
–
4:30 p.m.
RMK Lecture Reception (Light Refreshments)
4:30
–
5:30 p.m.
The Science of Modern Machine Learning: New Opportunities for Theory | Richard M. Karp Distinguished Lecture
Peter Bartlett (Simons Institute, UC Berkeley)
Wednesday, Nov. 20, 2024
9
–
9:30 a.m.
Coffee and Check In
9:30
–
10:10 a.m.
Robust Mixture Learning when Outliers Overwhelm Small Groups
Fanny Yang (ETH Zurich)
10:10
–
10:45 a.m.
Learning General Gaussian Mixtures With Efficient Score Matching
Vasilis Kontonis (UT Austin)
10:45
–
11:10 a.m.
Break
11:10
–
11:45 a.m.
Talk by
Mahdi Soltanolkotabi (University of Southern California)
11:45 a.m.
–
12:40 p.m.
Talk by
Zaid Harchaoui (University of Washington)
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Current Long-Term Visitors
Research Fellows
Postdoctoral Researchers
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Governance Board
Industry Advisory Council
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Participate
Apply to Participate
Plan Your Visit
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