Workshops

Summer 2022

Deep Learning Theory Workshop and Summer School

Aug 1, 2022 to Aug 5, 2022

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Monday, August 1st, 2022
9:00 am–9:25 am		Coffee and Check-In
9:25 am–9:30 am		Opening Remarks
9:30 am–10:30 am		Tutorial: Statistical Learning Theory, Optimization, and Neural Networks I Spencer Frei (UC Berkeley)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Tutorial: Statistical Learning Theory, Optimization, and Neural Networks II Spencer Frei (UC Berkeley)
12:00 pm–1:30 pm		Lunch
1:30 pm–2:30 pm		Understanding the Robustness of Deep Learning Aditi Raghunathan (Stanford)
2:30 pm–3:00 pm		Break
3:00 pm–4:00 pm		Feature Selection with Gradient Descent on Two-layer Networks in Low-rotation Regimes Matus Telgarsky (University of Illinois at Urbana-Champaign)
4:00 pm–6:00 pm		Reception

Tuesday, August 2nd, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:45 am		Tutorial: Implicit Bias I Nati Srebro (Toyota Technological Institute at Chicago)
10:45 am–11:15 am		Break
11:15 am–12:30 pm		Tutorial: Implicit Bias II Nati Srebro (Toyota Technological Institute at Chicago)
12:30 pm–2:30 pm		Lunch
2:30 pm–3:30 pm		The Devil is in the Tails and Other Stories of Interpolation Niladri Chatterji (Stanford)
3:30 pm–4:00 pm		Break
4:00 pm–5:00 pm		Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting Neil Mallinar (UC San Diego) & Preetum Nakkiran (Apple & UC San Diego)

Wednesday, August 3rd, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:30 am		Tutorial: Methods from Statistical Physics I Ahmed El Alaoui (Cornell)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Tutorial: Methods from Statistical Physics II Ahmed El Alaoui (Cornell)
12:00 pm–1:30 pm		Lunch
1:30 pm–2:30 pm		Panel: Perspectives on Machine Learning and Statistics
2:30 pm–2:45 pm		Break
2:45 pm–3:45 pm		Distribution Shift as Underspecification, and What We Might Do About It Chelsea Finn (Stanford)
3:45 pm–4:00 pm		Break
4:00 pm–5:00 pm		A New Perspective on High-Dimensional Causal Inference Pragya Sur (Harvard)

Thursday, August 4th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:45 am		Tutorial: Methods from Statistical Physics III Ahmed El Alaoui (Cornell)
10:45 am–11:15 am		Break
11:15 am–12:30 pm		Tutorial: Training & Deploying Multi-Modal Models Brandon McKinzie (Apple)
12:30 pm–2:30 pm		Lunch
2:30 pm–3:30 pm		A Theoretical Framework of Convolutional Kernels on Image Datasets Song Mei (UC Berkeley)
3:30 pm–4:00 pm		Break
4:00 pm–5:00 pm		Universality of Approximate Message Passing on Semi-random Matrices Subhabrata Sen (Harvard)

Friday, August 5th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:45 am		When is Scale Enough? Ethan Dyer (Google Research, Blueshift Team)
10:45 am–11:15 am		Break
11:15 am–12:30 pm		Deep Learning in Structural Biology and Protein Design: How, Where, and Why Chloe Hsu (UC Berkeley) presenting virtually
12:15 pm–12:20 pm		Concluding Remarks