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Workshop
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Explaining machine-learned particle-flow reconstruction
Farouk Mokhtar · Raghav Kansal · Daniel Diaz · Javier Duarte · Maurizio Pierini · jean-roch vlimant
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Affinity Workshop
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The impact of weather information on machine-learning probabilistic electricity demand predictions
Yifu Ding
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Workshop
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An Imperfect machine to search for New Physics: systematic uncertainties in a machine-learning based signal extraction
Gaia Grosso · Maurizio Pierini
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Poster
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Tue 8:30
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Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Jérôme Bolte · Tam Le · Edouard Pauwels · Tony Silveti-Falls
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Poster
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Thu 8:30
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Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
Ruihan Wu · Chuan Guo · Awni Hannun · Laurens van der Maaten
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Poster
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Tue 8:30
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Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan · Mikhail Khodak · Dravyansh Sharma · Ameet Talwalkar
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Workshop
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Tue 8:30
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Georg Seelig - Machine learning-guided design of functional DNA, RNA and protein sequences
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Affinity Workshop
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Machine Learning-based Mobility Assessment from Passively Sensed Digital Biomarkers
Emese Sükei · Pablo Olmos
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Poster
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Thu 0:30
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Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara
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Poster
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Tue 8:30
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Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid · Anirudha Majumdar
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Poster
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Tue 8:30
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Noether Networks: meta-learning useful conserved quantities
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn
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Poster
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Tue 8:30
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On sensitivity of meta-learning to support data
Mayank Agarwal · Mikhail Yurochkin · Yuekai Sun
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