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400 Results
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Spotlight
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Thu 8:20 |
Subspace Learning for Effective Meta-Learning Weisen JIANG · James Kwok · Yu Zhang |
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Poster
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Wed 15:30 |
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang · Guanhua Zhang · Prashant Khanduri · Mingyi Hong · Shiyu Chang · Sijia Liu |
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Poster
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Wed 15:30 |
Loss Function Learning for Domain Generalization by Implicit Gradient Boyan Gao · Henry Gouk · Yongxin Yang · Timothy Hospedales |
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Spotlight
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Wed 14:25 |
Loss Function Learning for Domain Generalization by Implicit Gradient Boyan Gao · Henry Gouk · Yongxin Yang · Timothy Hospedales |
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Poster
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Tue 15:30 |
The Role of Deconfounding in Meta-learning Yinjie Jiang · Zhengyu Chen · Kun Kuang · Luotian Yuan · Xinhai Ye · Zhihua Wang · Fei Wu · Ying WEI |
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Spotlight
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Tue 13:35 |
The Role of Deconfounding in Meta-learning Yinjie Jiang · Zhengyu Chen · Kun Kuang · Luotian Yuan · Xinhai Ye · Zhihua Wang · Fei Wu · Ying WEI |
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Spotlight
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Thu 11:40 |
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis Jungbin Kim · Insoon Yang |
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Poster
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Wed 15:30 |
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras · Yuval Dagan · Alexandros Dimakis · Constantinos Daskalakis |
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Poster
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Thu 15:00 |
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu · Thiago Serra · Srikumar Ramalingam · Shandian Zhe |
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Poster
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Thu 15:00 |
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees Kimon Antonakopoulos · Dong Quan Vu · Volkan Cevher · Kfir Levy · Panayotis Mertikopoulos |
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Poster
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Tue 15:30 |
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu · Gang Li · Bokun Wang · Xiaodong Wu · Tianbao Yang |
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Poster
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Tue 15:30 |
Accurate Quantization of Measures via Interacting Particle-based Optimization Lantian Xu · Anna Korba · Dejan Slepcev |