Showing 1–20 of 110 results
/ Date/ Name
Dec 17, 2021Incentivizing Collaboration in Machine Learning via Synthetic Data RewardsJun 20, 2024Data-Centric AI in the Age of Large Language ModelsOct 1, 2023Source Attribution for Large Language Model-Generated DataOct 24, 2020Private Outsourced Bayesian OptimizationMay 16, 2022On the Convergence of the Shapley Value in Parametric Bayesian Learning GamesFeb 4, 2025BILBO: BILevel Bayesian OptimizationOct 24, 2020Collaborative Machine Learning with Incentive-Aware Model RewardsMay 25, 2024Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of ExemplarsJun 20, 2024On Newton's Method to Unlearn Neural NetworksApr 11, 2024PINNACLE: PINN Adaptive ColLocation and Experimental points selectionJan 26, 2024Understanding Domain Generalization: A Noise Robustness PerspectiveOct 6, 2024Data Distribution ValuationOct 24, 2020Variational Bayesian UnlearningJul 6, 2024TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMsNov 17, 2020Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian OptimizationJun 14, 2022On Provably Robust Meta-Bayesian OptimizationJun 7, 2023Training-Free Neural Active Learning with Initialization-Robustness GuaranteesOct 2, 2023Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with TransformersMar 10, 2025PIED: Physics-Informed Experimental Design for Inverse ProblemsSep 1, 2025REFRAG: Rethinking RAG based Decoding