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Poster
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Thu 9:00
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Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
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Poster
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Thu 9:00
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A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu · Zhenxun Zhuang · Yunwen Lei · Chunyang Liao
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Poster
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Wed 14:00
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Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin · Behrooz Ghorbani · Justin Gilmer · Ankush Garg · Orhan Firat
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Poster
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Tue 14:00
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A theory of weight distribution-constrained learning
Weishun Zhong · Ben Sorscher · Daniel Lee · Haim Sompolinsky
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Poster
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Wed 9:00
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The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design
Ruoyu Cheng · Xianglong Lyu · Yang Li · Junjie Ye · Jianye Hao · Junchi Yan
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Poster
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Wed 14:00
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Communication-Efficient Topologies for Decentralized Learning with Consensus Rate
Zhuoqing Song · Weijian Li · Kexin Jin · Lei Shi · Ming Yan · Wotao Yin · Kun Yuan
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Poster
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Thu 9:00
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Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi · Suraj Srinivas · Simon Lacoste-Julien
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Poster
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Thu 14:00
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DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu · Zhiqing Sun · Yiming Yang
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Poster
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Thu 14:00
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Supervised Training of Conditional Monge Maps
Charlotte Bunne · Andreas Krause · Marco Cuturi
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Poster
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Thu 9:00
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A Combinatorial Perspective on the Optimization of Shallow ReLU Networks
Michael S Matena · Colin Raffel
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Poster
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Thu 9:00
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Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
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Workshop
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Faster Hyperparameter Search on Graphs via Calibrated Dataset Condensation
Mucong Ding · Xiaoyu Liu · Tahseen Rabbani · Furong Huang
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