The workshop will be held in-person at ICML 2023 at the Hawaii Convention Center on July 29th, 2023. Below is the tentative outline for the workshop. All times are in Hawaii Standard Time (GMT-10):

Time Event Title Speaker
9:00 - 9:30 Opening Remarks Duality: Opening Remarks Workshop Organizers
9:30 - 9:55 Invited Talk Fenchel Duality Theory on Riemannian Manifolds and the Riemannian Chambolle-Pock Algorithm Ronny Bergmann
9:55 - 10:05 Coffee break
10:05 - 10:17 Contributed Talk Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value Jaeyeon Kim
10:17 - 10:29 Contributed Talk RIFLE: Imputation and Robust Inference from Low Order Marginals Sina Baharlouei
10:30 - 10:42 Contributed Talk A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks Joseph Shenouda
10:45 - 11:10 Invited Talk Duality from Gradient Flow Force-Balance to Distributionally Robust Learning Jia-Jie Zhu
11:10 - 11:35 Invited Talk Convergence of mean field Langevin dynamics: Duality viewpoint and neural network optimization Taiji Suzuki
11:35 - 12:00 Invited Talk Duality for Neural Networks through Reproducing Kernel Banach Spaces Len Spek
12:00 - 13:00 Lunch
13:00 - 14:30 Poster Session
14:30 - 14:55 Invited Talk Dual RL: Unification and New Methods for Reinforcement and Imitation Learning Amy Zhang
14:55 - 15:35 Coffee Break & Poster Session
15:35 - 16:00 Invited Talk A Dualistic View of Activations in Deep Neural Networks Ehsan Amid
16:00 - 17:00 Panel Discussion Duality in Modern Machine Learning Speakers & Organizers

The list of accepted papers is here.