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84 Results
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Poster
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Tue 7:00 |
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application Wenpin Tang · Xin Guo · Fengmin Tang |
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Poster
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Tue 10:00 |
Optimal Robust Learning of Discrete Distributions from Batches Ayush Jain · Alon Orlitsky |
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Poster
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Tue 10:00 |
Federated Learning with Only Positive Labels Felix Xinnan Yu · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar |
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Poster
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Tue 9:00 |
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Jung Yeon Park · Kenneth Carr · Stephan Zheng · Yisong Yue · Rose Yu |
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Poster
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Wed 8:00 |
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification Hui Ye · Zhiyu Chen · Da-Han Wang · Brian D Davison |
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Poster
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Wed 5:00 |
Accelerating Large-Scale Inference with Anisotropic Vector Quantization Ruiqi Guo · Philip Sun · Erik Lindgren · Quan Geng · David Simcha · Felix Chern · Sanjiv Kumar |
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Workshop
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Fri 6:00 |
Workshop on eXtreme Classification: Theory and Applications Anna Choromanska · John Langford · Maryam Majzoubi · Yashoteja Prabhu |
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Poster
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Tue 7:00 |
Faster Graph Embeddings via Coarsening Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang |
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Poster
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Thu 8:00 |
Model Fusion with Kullback--Leibler Divergence Sebastian Claici · Mikhail Yurochkin · Soumya Ghosh · Justin Solomon |
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Poster
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Thu 8:00 |
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon · Wonyoung Kim · Joong-Ho (Johann) Won · Myunghee Cho Paik |
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Poster
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Tue 12:00 |
A distributional view on multi-objective policy optimization Abbas Abdolmaleki · Sandy Huang · Leonard Hasenclever · Michael Neunert · Francis Song · Martina Zambelli · Murilo Martins · Nicolas Heess · Raia Hadsell · Martin Riedmiller |
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Poster
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Wed 11:00 |
From Local SGD to Local Fixed-Point Methods for Federated Learning Grigory Malinovsky · Dmitry Kovalev · Elnur Gasanov · Laurent CONDAT · Peter Richtarik |