Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Propertyby Yuya Yoshikawa, Masanari…
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimizationby Anthony Bardou, Patrick Thiran,…
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimizationby Zi Yang, Ziyue Liu, Samridhi Choudhary,…
Exact Gauss-Newton Optimization for Training Deep Neural Networksby Mikalai Korbit, Adeyemi D. Adeoye, Alberto Bemporad,…
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Modelby Tudor Cebere, Aurélien Bellet,…
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem…
Retrieval-Augmented Mining of Temporal Logic Specifications from Databy Gaia Saveri, Luca BortolussiFirst submitted to arxiv…
RoPINN: Region Optimized Physics-Informed Neural Networksby Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng…
A Structure-Aware Framework for Learning Device Placements on Computation Graphsby Shukai Duan, Heng Ping, Nikos…
Variational Delayed Policy Optimizationby Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin,…