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12 Results
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Panel
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Tue 9:45 |
Panel 1C-4: Fast Bayesian Coresets… & Not too little,… Nicolas Keriven · Cian Naik |
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Poster
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Wed 14:00 |
Bayesian inference via sparse Hamiltonian flows Naitong Chen · Zuheng Xu · Trevor Campbell |
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Poster
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Thu 14:00 |
Improved Coresets for Euclidean -Means Vincent Cohen-Addad · Kasper Green Larsen · David Saulpic · Chris Schwiegelshohn · Omar Ali Sheikh-Omar |
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Poster
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Tue 14:00 |
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement Cian Naik · Judith Rousseau · Trevor Campbell |
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Poster
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Wed 14:00 |
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions Murad Tukan · Loay Mualem · Alaa Maalouf |
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Poster
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Thu 14:00 |
Black-box coreset variational inference Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos |
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Poster
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Tue 14:00 |
Coresets for Wasserstein Distributionally Robust Optimization Problems Ruomin Huang · Jiawei Huang · Wenjie Liu · Hu Ding |
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Poster
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Wed 14:00 |
Coresets for Relational Data and The Applications Jiaxiang Chen · Qingyuan Yang · Ruomin Huang · Hu Ding |
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Poster
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Tue 9:00 |
Coreset for Line-Sets Clustering Sagi Lotan · Ernesto Evgeniy Sanches Shayda · Dan Feldman |
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Poster
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Wed 14:00 |
Data-Efficient Augmentation for Training Neural Networks Tian Yu Liu · Baharan Mirzasoleiman |
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Poster
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Tue 14:00 |
Coresets for Vertical Federated Learning: Regularized Linear Regression and -Means Clustering Lingxiao Huang · Zhize Li · Jialin Sun · Haoyu Zhao |
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Workshop
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Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning Souradip Chakraborty · Amrit Bedi · Alec Koppel · Furong Huang · Pratap Tokekar · Dinesh Manocha |