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Poster
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Wed 9:00
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Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
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Poster
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Thu 21:00
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Projection Robust Wasserstein Distance and Riemannian Optimization
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
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Spotlight
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Thu 19:50
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Projection Robust Wasserstein Distance and Riemannian Optimization
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
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Poster
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Thu 21:00
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Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
Yu Yao · Tongliang Liu · Bo Han · Mingming Gong · Jiankang Deng · Gang Niu · Masashi Sugiyama
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Poster
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Thu 9:00
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Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
Abhinav Agrawal · Daniel Sheldon · Justin Domke
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Poster
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Wed 9:00
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Online Non-Convex Optimization with Imperfect Feedback
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud Rahier
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Poster
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Mon 21:00
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Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka · Daniel Kunin · Daniel Yamins · Surya Ganguli
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Poster
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Wed 9:00
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Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu · Meisam Razaviyayn · Bo Yang · Kejun Huang · Mingyi Hong
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Spotlight
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Wed 8:00
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Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu · Meisam Razaviyayn · Bo Yang · Kejun Huang · Mingyi Hong
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Poster
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Thu 9:00
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Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
Shashanka Ubaru · Sanjeeb Dash · Arya Mazumdar · Oktay Gunluk
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Poster
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Thu 9:00
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Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
Giorgos ('Yorgos') Mamakoukas · Orest Xherija · Todd Murphey
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Poster
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Tue 9:00
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Influence-Augmented Online Planning for Complex Environments
Jinke He · Miguel Suau · Frans Oliehoek
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