Summary of Fairness and Privacy Guarantees in Federated Contextual Bandits, by Sambhav Solanki et al.
Fairness and Privacy Guarantees in Federated Contextual Banditsby Sambhav Solanki, Shweta Jain, Sujit GujarFirst submitted…
Fairness and Privacy Guarantees in Federated Contextual Banditsby Sambhav Solanki, Shweta Jain, Sujit GujarFirst submitted…
Regulation Games for Trustworthy Machine Learningby Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas PapernotFirst submitted…
HAMLET: Graph Transformer Neural Operator for Partial Differential Equationsby Andrey Bryutkin, Jiahao Huang, Zhongying Deng,…
A Theoretical Framework for Partially Observed Reward-States in RLHFby Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano,…
Training-Free Consistent Text-to-Image Generationby Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal…
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTSby Matthew DeLorenzo, Animesh Basak…
InstanceDiffusion: Instance-level Control for Image Generationby Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar,…
Zero-shot Object-Level OOD Detection with Context-Aware Inpaintingby Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen…
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networksby Yongchang Hao, Yanshuai…
Flora: Low-Rank Adapters Are Secretly Gradient Compressorsby Yongchang Hao, Yanshuai Cao, Lili MouFirst submitted to…