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Poster
Tue 10:45 Sobolev Independence Criterion
Youssef Mroueh · Tom Sercu · Mattia Rigotti · Inkit Padhi · Cicero Nogueira dos Santos
Poster
Wed 17:00 Expressive power of tensor-network factorizations for probabilistic modeling
Ivan Glasser · Ryan Sweke · Nicola Pancotti · Jens Eisert · Ignacio Cirac
Poster
Tue 17:30 Large-scale optimal transport map estimation using projection pursuit
Cheng Meng · Yuan Ke · Jingyi Zhang · Mengrui Zhang · Wenxuan Zhong · Ping Ma
Poster
Thu 10:45 Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang · Lala Li · Zachary Nado · James Martens · Sushant Sachdeva · George Dahl · Chris Shallue · Roger Grosse
Poster
Thu 17:00 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao · Colin Wei · Adrien Gaidon · Nikos Arechiga · Tengyu Ma
Poster
Thu 17:00 Large Memory Layers with Product Keys
Guillaume Lample · Alexandre Sablayrolles · Marc'Aurelio Ranzato · Ludovic Denoyer · Herve Jegou
Poster
Wed 10:45 SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang · Zhanhong Tan · Jiebo Song · Jingwei Chen · Chenglong Bao · Kaisheng Ma
Poster
Tue 17:30 On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
Belhal Karimi · Hoi-To Wai · Eric Moulines · Marc Lavielle
Poster
Thu 17:00 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Shuai Zheng · Ziyue Huang · James Kwok
Poster
Tue 17:30 Offline Contextual Bayesian Optimization
Ian Char · Youngseog Chung · Willie Neiswanger · Kirthevasan Kandasamy · Oak Nelson · Mark Boyer · Egemen Kolemen · Jeff Schneider
Poster
Tue 10:45 Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao
Poster
Wed 17:00 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
Ruibo Tu · Kun Zhang · Bo Bertilson · Hedvig Kjellstrom · Cheng Zhang