Workshops

Fall 2021

Geometric Methods in Optimization and Sampling Reunion

Jan 10, 2023 to Jan 12, 2023

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All talks are listed in Pacific Time. Schedule subject to change.

Tuesday, January 10th, 2023
9:00 am–9:25 am		Coffee and Check In
9:25 am–9:30 am		Opening Remarks
9:30 am–10:15 am		The Restricted Gaussian Oracle as a Proximity Operator for Sampling Adil Salim (Microsoft Research)
10:15 am–11:00 am		Convergence in KL Divergence of the Inexact Langevin Algorithm with Application to Score-based Generative Models Andre Wibisono (Yale University)
11:00 am–11:30 am		Break
11:30 am–12:15 pm		Quantization of Measures via Interacting Particle-based Optimization Dejan Selpcev (Carnegie Mellon)
12:15 pm–2:00 pm		Lunch
2:00 pm–2:45 pm		High-dimensional Scaling Limits of Least-square Online SGD Iterates and Its Fluctuations Krishna Balasubramanian (UC Davis)
2:45 pm–3:30 pm		Lower Bounds for Sampling: Dimension Two and Gaussians Sinho Chewi (MIT)
3:30 pm–4:00 pm		Break + Discussion
4:00 pm–5:00 pm		Reception

Wednesday, January 11th, 2023
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:15 am		Feature Learning in Two-layer Neural Networks Muat Erdogdu (University of Toronto)
10:15 am–11:00 am		Score-based Generative Modeling: Convergence Theory Holden Lee (Johns Hopkins University)
11:00 am–11:30 am		Break
11:30 am–12:15 pm		TBA Augusto Gerolin (uOttawa)
12:15 pm–2:00 pm		Lunch
2:00 pm–2:45 pm		The Ensemble Kalman Filter in the Near-Gaussian Setting Franca Hoffmann (California Institute of Technology)
2:45 pm–3:30 pm		Geometric Methods in Private Convex Optimization Kevin Tian (Microsoft Research)
3:30 pm–5:00 pm		Break + Discussion

Thursday, January 12th, 2023
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:15 am		Geometry Aware Exploratory Data Analysis Paromita Dubey (USC)
10:15 am–11:00 am		A Proximal Algorithm for Sampling Yongxin Chen (Georgia Institute of Technology)
11:00 am–11:30 am		Break
11:30 am–12:15 pm		Analysis of Adversarial Robustness and of Other Problems in Modern Machine Learning Nicolas Garcia-Trillos (University of Wisconsin Madison)
12:15 pm–2:00 pm		Lunch
2:00 pm–2:45 pm		The Geometry of Adversarial Training - Nonlocal Regularization and Gamma-Convergence Leon Bungert (Hausdorff Center for Mathematics, University of Bonn)
2:45 pm–3:30 pm		TBA Aram Pooladian (NYU)
3:30 pm–5:00 pm		Break + Discussion