| Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value (highlighted as contributed talk) |
Jaeyeon Kim, Asuman E. Ozdaglar, Chanwoo Park, Ernest K. Ryu |
| Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees |
Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad Harikandeh, Nicolas Le Roux |
| The Power of Duality Principle in Offline Average-Reward Reinforcement Learning |
Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang |
| Reward-Based Reinforcement Learning with Risk Constraints |
Jane Lee, Konstantinos Nikolakakis, Dionysios Kalogerias, Amin Karbasi |
| A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation |
Adam Perrett, Danny Wood, Gavin Brown |
| Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning |
Yanis Bahroun, Dmitri Chklovskii, Anirvan M. Sengupta |
| On the Fisher-Rao Gradient of the Evidence Lower Bound |
Jesse van Oostrum, Nihat Ay |
| Duality in
Multi-View Restricted Kernel Machines |
Sonny Achten, Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan Suykens |
| A Dual
Formulation for Probabilistic Principal Component Analysis |
Henri De Plaen, Johan Suykens |
| Energy-Based Non-Negative Tensor Factorization via Multi-Body Modeling |
Kazu Ghalamkari, Mahito Sugiyama |
| Dual Gauss-Newton Directions for Deep Learning |
Vincent Roulet, Mathieu Blondel |
| Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum |
Amnon Geifman, Daniel Barzilai, Ronen Basri, Meirav Galun |
| Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium |
Pavel Dvurechensky, Jia-Jie Zhu |
| A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks (highlighted as contributed talk) |
Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D Nowak |
| RIFLE: Imputation and Robust Inference from Low Order Marginals (highlighted as contributed talk) |
Sina Baharlouei, Kelechi Ogudu, Peng Dai, Sze-chuan Suen, Meisam Razaviyayn |
| Estimating Joint interventional distributions from marginal interventional data |
Sergio Hernan Garrido Mejia, Elke Kirschbaum, Armin Kekić, Atalanti A. Mastakouri |
| Learning with Primal-Dual Spectral Risk Measures: a Fast Incremental Algorithm |
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui |
| Implicit Interpretation of Importance Weight Aware Updates |
Keyi Chen, Francesco Orabona |
| The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data |
Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan |
| Memory Maps to Understand Models |
Dharmesh Tailor, Paul Edmund Chang, Siddharth Swaroop, Eric Nalisnick, Arno Solin, Mohammad Emtiyaz Khan |
| Sparse Function-Space Representation of Neural Networks |
Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin |