Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneckby Hao Yang, Zexu Sun, Hongteng…
E(n) Equivariant Topological Neural Networksby Claudio Battiloro, Ege Karaismailoğlu, Mauricio Tec, George Dasoulas, Michelle Audirac,…
Comparing remote sensing-based forest biomass mapping approaches using new forest inventory plots in contrasting forests…
Strong screening rules for group-based SLOPE modelsby Fabio Feser, Marina EvangelouFirst submitted to arxiv on:…
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithmsby Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur…
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaborationby Yang Zhang, Shixin Yang, Chenjia Bai, Fei…
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Expertsby Huy Nguyen,…
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsamplingby Shifan Zhao, Jiaying Lu,…
Regression Trees Know Calculusby Nathan WycoffFirst submitted to arxiv on: 22 May 2024CategoriesMain: Machine Learning…
Deep linear networks for regression are implicitly regularized towards flat minimaby Pierre Marion, Lénaïc ChizatFirst…