Lagrangian Neural Networks for Reversible Dissipative Evolutionby Veera Sundararaghavan, Megna N. Shah, Jeff P. SimmonsFirst…
Efficiency for Free: Ideal Data Are Transportable Representationsby Peng Sun, Yi Jiang, Tao LinFirst submitted…
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Lossby Yi-Shan Wu,…
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detectionby Marco Rando, Luca…
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Propertyby Yuya Yoshikawa, Masanari…
Nuclear Norm Regularization for Deep Learningby Christopher Scarvelis, Justin SolomonFirst submitted to arxiv on: 23…
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimizationby Anthony Bardou, Patrick Thiran,…
Causal Effect Identification in a Sub-Population with Latent Variablesby Amir Mohammad Abouei, Ehsan Mokhtarian, Negar…
Learning with Fitzpatrick Lossesby Seta Rakotomandimby, Jean-Philippe Chancelier, Michel de Lara, Mathieu BlondelFirst submitted to…
Linear Mode Connectivity in Differentiable Tree Ensemblesby Ryuichi Kanoh, Mahito SugiyamaFirst submitted to arxiv on:…