T1.R3: Machine Learning
Tue, 16 Dec, 10:20 - 12:00 AST (UTC -4)
Location: Isabela III
Session Type: Lecture
Session Co-Chairs: Rene Vidal, University of Pennsylvania and Gonzalo Mateos, University of Rochester
Track: Machine Learning and Artificial Intelligence
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Tue, 16 Dec, 10:20 - 10:40 AST (UTC -4)

T1.R3.1: SYMMETRIC RANK-ONE QUASI-NEWTON METHODS FOR DEEP LEARNING USING CUBIC REGULARIZATION
Aditya Ranganath, Lawrence Livermore National Laboratory, United States; Mukesh Singhal, Roummel Marcia, University of California, Merced, United States
Tue, 16 Dec, 10:40 - 11:00 AST (UTC -4)

T1.R3.2: Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models
Ecem Bozkurt, Antonio Ortega, University of Southern California, United States
Tue, 16 Dec, 11:00 - 11:20 AST (UTC -4)

T1.R3.3: Toeplitz Covariance Estimation via Overparametrized Gradient Descent
Daniel Busbib, Ami Wiesel, The Hebrew University Of Jerusalem, Israel
Tue, 16 Dec, 11:20 - 11:40 AST (UTC -4)

T1.R3.4: Convergence of Agnostic Federated Averaging
Herlock (SeyedAbolfazl) Rahimi, Dionysis Kalogerias, Yale University, United States