Workshop

Explaining machine-learned particle-flow reconstruction
Farouk Mokhtar · Raghav Kansal · Daniel Diaz · Javier Duarte · Maurizio Pierini · jean-roch vlimant

Affinity Workshop

The impact of weather information on machine-learning probabilistic electricity demand predictions
Yifu Ding

Workshop

An Imperfect machine to search for New Physics: systematic uncertainties in a machine-learning based signal extraction
Gaia Grosso · Maurizio Pierini

Poster

Tue 8:30

Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Jérôme Bolte · Tam Le · Edouard Pauwels · Tony Silveti-Falls

Poster

Thu 8:30

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
Ruihan Wu · Chuan Guo · Awni Hannun · Laurens van der Maaten

Poster

Tue 8:30

Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan · Mikhail Khodak · Dravyansh Sharma · Ameet Talwalkar

Workshop

Tue 8:30

Georg Seelig - Machine learning-guided design of functional DNA, RNA and protein sequences

Affinity Workshop

Machine Learning-based Mobility Assessment from Passively Sensed Digital Biomarkers
Emese Sükei · Pablo Olmos

Poster

Thu 0:30

Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara

Poster

Tue 8:30

Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid · Anirudha Majumdar

Poster

Tue 8:30

Noether Networks: meta-learning useful conserved quantities
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn

Poster

Tue 8:30

On sensitivity of meta-learning to support data
Mayank Agarwal · Mikhail Yurochkin · Yuekai Sun

Results