Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworksby Minh-Duc Nguyen, Phuong…
Interactive Classification Metrics: A graphical application to build robust intuition for classification model evaluationby David…
Fair and Accurate Regression: Strong Formulations and Algorithmsby Anna Deza, Andrés Gómez, Alper AtamtürkFirst submitted…
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theoryby Fabian Fumagalli, Maximilian Muschalik, Eyke…
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networksby Jinping Zou, Xiaoge Deng, Tao…
Data value estimation on private gradientsby Zijian Zhou, Xinyi Xu, Daniela Rus, Bryan Kian Hsiang…
A Meta-Learning Approach to Bayesian Causal Discoveryby Anish Dhir, Matthew Ashman, James Requeima, Mark van…
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretationsby Shan ShanFirst…
KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamicsby Juan Diego Toscano, Li-Lian Wang, George Em KarniadakisFirst…
Does calibration mean what they say it means; or, the reference class problem rises againby…