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Poster
Tue 9:00 Learning with little mixing
Ingvar Ziemann · Stephen Tu
Poster
Wed 14:00 Fairness-Aware PAC Learning from Corrupted Data
Nikola Konstantinov · Christoph Lampert
Expo Workshop
Mon 7:30 Graph Neural Networks in Tensorflow: A Practical Guide
Bryan Perozzi · Sami A Abu-El-Haija · Neslihan Bulut · Brandon Mayer
Poster
Online Frank-Wolfe with Arbitrary Delays
Yuanyu Wan · Wei-Wei Tu · Lijun Zhang
Poster
Wed 9:00 Online Allocation and Learning in the Presence of Strategic Agents
Steven Yin · Shipra Agrawal · Assaf Zeevi
Poster
Wed 14:00 Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Nils M. Kriege
Panel
Tue 18:45 Panel 2B-4: Extreme Compression for… & Exploring Length Generalization…
Cem Anil · Minjia Zhang
Poster
Thu 9:00 Sufficient reductions in regression with mixed predictors
Efstathia Bura · Liliana Forzani · Rodrigo García Arancibia · Pamela Llop · Diego Tomassi
Poster
Wed 14:00 Optimal Query Complexities for Dynamic Trace Estimation
David Woodruff · Fred Zhang · Richard Zhang
Poster
Wed 9:00 Understanding Benign Overfitting in Gradient-Based Meta Learning
Lisha Chen · Songtao Lu · Tianyi Chen
Tue 16:00 Ethics Review - Open Discussion
Deborah Raji · William Isaac · Cherie Poland · Alexandra Luccioni
Poster
Tue 9:00 Generalised Mutual Information for Discriminative Clustering
Louis Ohl · Pierre-Alexandre Mattei · Charles Bouveyron · Warith HARCHAOUI · Mickaël Leclercq · Arnaud Droit · Frederic Precioso