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41 Results

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Poster
Tue 9:00 Learning with little mixing
Ingvar Ziemann · Stephen Tu
Poster
Wed 14:00 Where to Pay Attention in Sparse Training for Feature Selection?
Ghada Sokar · Zahra Atashgahi · Mykola Pechenizkiy · Decebal Constantin Mocanu
Workshop
Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies
Joel Dyer · John Fitzgerald · Bastian Rieck · Sebastian Schmon
Poster
Tue 9:00 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus · José Pombal · Duarte Alves · André Cruz · Pedro Saleiro · Rita Ribeiro · João Gama · Pedro Bizarro
Poster
Thu 9:00 TempEL: Linking Dynamically Evolving and Newly Emerging Entities
Klim Zaporojets · Lucie-Aimée Kaffee · Johannes Deleu · Thomas Demeester · Chris Develder · Isabelle Augenstein
Workshop
Fri 6:45 Learning Causal Structures and Causal Representations from Data
Peter Spirtes
Workshop
Detecting structured signals in radio telescope data using RKHS
Russell Tsuchida · Suk Yee Yong
Workshop
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks
Zhe Li · Andreas Tolias · Xaq Pitkow
Affinity Workshop
Fair Active learning by exploiting causal data structure
Sindhu C M Gowda · Haoran Zhang · Marzyeh Ghassemi
Workshop
Fri 6:45 Alon Halevy - "Structured Data Inside and Out"
Alon Halevy
Poster
Tue 14:00 A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai · Mladen Kolar · Sanmi Koyejo
Workshop
Data-driven emergence of convolutional structure in neural networks
Alessandro Ingrosso · Sebastian Goldt