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Poster
Wed 9:00 Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
Poster
Thu 21:00 Projection Robust Wasserstein Distance and Riemannian Optimization
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
Spotlight
Thu 19:50 Projection Robust Wasserstein Distance and Riemannian Optimization
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
Poster
Thu 21:00 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
Poster
Thu 9:00 Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
Abhinav Agrawal · Daniel Sheldon · Justin Domke
Poster
Wed 9:00 Online Non-Convex Optimization with Imperfect Feedback
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud Rahier
Poster
Mon 21:00 Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka · Daniel Kunin · Daniel Yamins · Surya Ganguli
Poster
Wed 9:00 Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu · Meisam Razaviyayn · Bo Yang · Kejun Huang · Mingyi Hong
Spotlight
Wed 8:00 Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu · Meisam Razaviyayn · Bo Yang · Kejun Huang · Mingyi Hong
Poster
Thu 9:00 Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
Shashanka Ubaru · Sanjeeb Dash · Arya Mazumdar · Oktay Gunluk
Poster
Thu 9:00 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
Giorgos ('Yorgos') Mamakoukas · Orest Xherija · Todd Murphey
Poster
Tue 9:00 Influence-Augmented Online Planning for Complex Environments
Jinke He · Miguel Suau · Frans Oliehoek