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Workshop
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Thu 8:00
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Machine learning-guided directed evolution of functional proteins
Andrew Ferguson
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Workshop
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Machine learning-assisted close-set X-ray diffraction phase identification of transition metals
Maksim Zhdanov · Andrey Zhdanov
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Poster
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Mon 2:30
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Valid P-Value for Deep Learning-driven Salient Region
Daiki Miwa · Vo Nguyen Le Duy · Ichiro Takeuchi
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Poster
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How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
Yutong Xie · Ziqiao Xu · Jiaqi Ma · Qiaozhu Mei
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Poster
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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen · Austin Tripp · José Miguel Hernández Lobato
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Poster
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Wed 7:30
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Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
Jeremy Tien · Zhiyang He · Zackory Erickson · Anca Dragan · Daniel Brown
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Poster
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Wed 2:30
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Discovering Evolution Strategies via Meta-Black-Box Optimization
Robert Lange · Tom Schaul · Yutian Chen · Tom Zahavy · Valentin Dalibard · Chris Lu · Satinder Singh · Sebastian Flennerhag
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Poster
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GEASS: Neural causal feature selection for high-dimensional biological data
Mingze Dong · Yuval Kluger
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Poster
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Distributionally Robust Recourse Action
Duy Nguyen · Ngoc Bui · Viet Anh Nguyen
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Poster
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Efficiently Controlling Multiple Risks with Pareto Testing
Bracha Laufer-Goldshtein · Adam Fisch · Regina Barzilay · Tommi Jaakkola
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Poster
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Tue 2:30
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Efficient Certified Training and Robustness Verification of Neural ODEs
Mustafa Zeqiri · Mark N Müller · Marc Fischer · Martin Vechev
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Oral Session
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Mon 1:00
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Oral 1 Track 4: Social Aspects of Machine Learning
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