Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objectiveby Shuhei…
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease…
Optimized Tradeoffs for Private Prediction with Majority Ensemblingby Shuli Jiang, Qiuyi, Zhang, Gauri JoshiFirst submitted…
New Faithfulness-Centric Interpretability Paradigms for Natural Language Processingby Andreas MadsenFirst submitted to arxiv on: 27…
Scalable iterative pruning of large language and vision models using block coordinate descentby Gili Rosenberg,…
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewardsby Ahmad…
From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphsby Cynthia Dwork, Chris Hays, Nicole Immorlica,…
Anytime Acceleration of Gradient Descentby Zihan Zhang, Jason D. Lee, Simon S. Du, Yuxin ChenFirst…
Robust Bayesian Optimization via Localized Online Conformal Predictionby Dongwon Kim, Matteo Zecchin, Sangwoo Park, Joonhyuk…
Training Hamiltonian neural networks without backpropagationby Atamert Rahma, Chinmay Datar, Felix DietrichFirst submitted to arxiv…