Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Managementby Huiling Meng, Ningyuan…
Adversarial flows: A gradient flow characterization of adversarial attacksby Lukas Weigand, Tim Roith, Martin BurgerFirst…
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generationby Guojin Chen, Keren Zhu, Seunggeun Kim,…
Group-wise oracle-efficient algorithms for online multi-group learningby Samuel Deng, Daniel Hsu, Jingwen LiuFirst submitted to…
Beyond Efficiency: Scaling AI Sustainablyby Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim HazelwoodFirst submitted to…
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of…
The Price of Implicit Bias in Adversarially Robust Generalizationby Nikolaos Tsilivis, Natalie Frank, Nathan Srebro,…
Optimizing Automatic Differentiation with Deep Reinforcement Learningby Jamie Lohoff, Emre NeftciFirst submitted to arxiv on:…
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearchby Virginia Aglietti, Ira Ktena, Jessica Schrouff,…
Primitive Agentic First-Order Optimizationby R. SalaFirst submitted to arxiv on: 7 Jun 2024CategoriesMain: Machine Learning…