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Poster
Wed 8:00 Negative Sampling in Semi-Supervised learning
John Chen · Vatsal Shah · Anastasios Kyrillidis
Poster
Wed 8:00 Coresets for Clustering in Graphs of Bounded Treewidth
Daniel Baker · Vladimir Braverman · Lingxiao Huang · Shaofeng H.-C. Jiang · Robert Krauthgamer · Xuan Wu
Poster
Thu 6:00 Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma · Vignesh Ganapathiraman · Yaoliang Yu · Xinhua Zhang
Poster
Wed 10:00 Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Poster
Tue 14:00 Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure
John Sipple
Poster
Thu 6:00 Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang · Phillip Isola
Poster
Thu 8:00 Learning Mixtures of Graphs from Epidemic Cascades
Jessica Hoffmann · Soumya Basu · Surbhi Goel · Constantine Caramanis
Poster
Tue 7:00 A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen · Simon Kornblith · Mohammad Norouzi · Geoffrey Hinton
Poster
Tue 7:00 Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
Di Chen · Yiwei Bai · Wenting Zhao · Sebastian Ament · John Gregoire · Carla Gomes
Poster
Thu 15:00 Stochastic Optimization for Regularized Wasserstein Estimators
Marin Ballu · Quentin Berthet · Francis Bach
Poster
Wed 16:00 Spread Divergence
Mingtian Zhang · Peter Hayes · Thomas Bird · Raza Habib · David Barber
Poster
Tue 7:00 Layered Sampling for Robust Optimization Problems
Hu Ding · Zixiu Wang