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Affinity Event
Evaluating Machine Learning Methods for PM2.5 Estimation Using Satellite AOD, Low-Cost and Reference-Grade Monitors in Kampala.
Priscilla Adong · Soumyabrata Dev
Poster
Fri 16:30 Solving Minimum-Cost Reach Avoid using Reinforcement Learning
Oswin So · Cheng Ge · Chuchu Fan
Workshop
Decision-Driven Calibration for Cost-Sensitive Uncertainty Quantification
Gregory Canal · Vladimir Leung · John Guerrerio · Philip Sage · I-Jeng Wang
Poster
Thu 11:00 Cost-efficient Knowledge-based Question Answering with Large Language Models
Junnan Dong · Qinggang Zhang · Chuang Zhou · Hao Chen · Daochen Zha · Xiao Huang
Poster
Wed 11:00 Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
Nicolás Astorga · Tennison Liu · Nabeel Seedat · Mihaela van der Schaar
Poster
Wed 16:30 Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Qian Xie · Raul Astudillo · Peter Frazier · Ziv Scully · Alexander Terenin
Workshop
Cost-effective Reduced-Order Modeling via Bayesian Active Learning
Amir Hossein Rahmati · Nathan Urban · Byung-Jun Yoon · Xiaoning Qian
Workshop
Informed Tree of Thought: Cost-efficient Problem Solving with Large Language Models
Sajad Mousavi · Desik Rengarajan · Ashwin Ramesh Babu · Sahand Ghorbanpour · Vineet Gundecha · Avisek Naug · Soumyendu Sarkar
Workshop
Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models
Sungmin Cha · Sungjun Cho · Dasol Hwang · Moontae Lee
Workshop
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs
Yuto Shibata · Yasunori Kudo · Yohei Sugawara
Workshop
Optimizing Carbon Emissions and Cost Reductions for Household Energy Demand Using Machine Learning
Shivani Chotalia · Kyungmin Lee · Soazig Kaam · Victor Hutse · David Quispe
Workshop
Lightweight Neural App Control
Filippos Christianos · Georgios Papoudakis · Thomas Coste · Jianye Hao · Jun Wang · Kun Shao