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Workshop
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Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI
Yizheng Huang · Huaizheng Zhang · Yuanming Li · Chiew Tong Lau · Yang You
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Poster
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Thu 14:00
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Local Bayesian optimization via maximizing probability of descent
Quan Nguyen · Kaiwen Wu · Jacob Gardner · Roman Garnett
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Workshop
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Solar Flare Forecasting with Data-driven Interpretable Model
JiaMeng Lv · Peng Jia · 陈风 · 杨过 · Tie Liu
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Poster
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Tue 9:00
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Triangulation candidates for Bayesian optimization
Robert Gramacy · Annie Sauer · Nathan Wycoff
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Workshop
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PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design
Ji Won Park · Samuel Stanton · Saeed Saremi · Andrew Watkins · Stephen Ra · Vladimir Gligorijevic · Kyunghyun Cho · Richard Bonneau
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Affinity Workshop
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Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
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Poster
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Thu 9:00
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Active Learning with Neural Networks: Insights from Nonparametric Statistics
Yinglun Zhu · Robert Nowak
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Poster
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Tue 14:00
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Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
Scott Lowe · Robert Earle · Jason d'Eon · Thomas Trappenberg · Sageev Oore
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Poster
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Thu 14:00
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Efficient Active Learning with Abstention
Yinglun Zhu · Robert Nowak
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Workshop
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Fantasizing with Dual GPs in Bayesian Optimization and Active Learning
Paul Chang · Prakhar Verma · ST John · Victor Picheny · Henry Moss · Arno Solin
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Poster
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Thu 9:00
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Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis · Francisco Antunes · Frederik Hüttel · Carlos Lima Azevedo · Francisco Pereira
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Competition
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Tue 14:30
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Invited talk: "Predicting mouse neural activity with models trained through supervised, unsupervised, and reinforcement learning"
Grace Lindsay
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