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Poster
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Tue 7:00
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Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
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Poster
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Tue 13:00
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Constant Curvature Graph Convolutional Networks
Gregor Bachmann · Gary Becigneul · Octavian Ganea
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Poster
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Thu 8:00
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Generalization and Representational Limits of Graph Neural Networks
Vikas K Garg · Stefanie Jegelka · Tommi Jaakkola
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Poster
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Thu 6:00
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Continuous Graph Neural Networks
Louis-Pascal Xhonneux · Meng Qu · Jian Tang
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Poster
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Tue 10:00
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How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan · David Sussillo
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Poster
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Wed 11:00
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A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Pan Xu · Quanquan Gu
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Poster
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Wed 9:00
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Cooperative Multi-Agent Bandits with Heavy Tails
Abhimanyu Dubey · Alex `Sandy' Pentland
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Poster
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Thu 13:00
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Graph Filtration Learning
Christoph Hofer · Florian Graf · Bastian Rieck · Marc Niethammer · Roland Kwitt
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Poster
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Tue 11:00
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Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
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Poster
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Wed 16:00
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Online Dense Subgraph Discovery via Blurred-Graph Feedback
Yuko Kuroki · Atsushi Miyauchi · Junya Honda · Masashi Sugiyama
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Poster
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Thu 6:00
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Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol · Soumyasundar Pal · Yingxue Zhang · Mark Coates
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Poster
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Thu 12:00
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Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
Aleksandar Bojchevski · Johannes Gasteiger · Stephan Günnemann
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