Summary of Prediction-guided Active Experiments, by Ruicheng Ao et al.
Prediction-Guided Active Experimentsby Ruicheng Ao, Hongyu Chen, David Simchi-LeviFirst submitted to arxiv on: 18 Nov…
Prediction-Guided Active Experimentsby Ruicheng Ao, Hongyu Chen, David Simchi-LeviFirst submitted to arxiv on: 18 Nov…
The Statistical Accuracy of Neural Posterior and Likelihood Estimationby David T. Frazier, Ryan Kelly, Christopher…
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attackby Nicole Meng, Caleb…
Tackling prediction tasks in relational databases with LLMsby Marek Wydmuch, Łukasz Borchmann, Filip GralińskiFirst submitted…
LoRA Unlearns More and Retains More (Student Abstract)by Atharv MittalFirst submitted to arxiv on: 16…
On the Efficiency of ERM in Feature Learningby Ayoub El Hanchi, Chris J. Maddison, Murat…
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardizationby Mohammad…
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learningby Zhenyu Wen, Wanglei Feng, Di Wu,…
Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Frameworkby Yannick Metz,…
A Potential Game Perspective in Federated Learningby Kang Liu, Ziqi Wang, Enrique ZuazuaFirst submitted to…