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Poster
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Thu 15:00
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A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Matthew Bendel · Rizwan Ahmad · Philip Schniter
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Poster
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Wed 8:45
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RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu · Max Simchowitz · Siri Gadipudi · Abhishek Gupta
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Poster
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Thu 15:00
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Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Xilie Xu · Jingfeng ZHANG · Feng Liu · Masashi Sugiyama · Mohan Kankanhalli
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Poster
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Thu 8:45
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Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction
Souhaib Attaiki · Maks Ovsjanikov
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Poster
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Wed 8:45
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State Regularized Policy Optimization on Data with Dynamics Shift
Zhenghai Xue · Qingpeng Cai · Shuchang Liu · Dong Zheng · Peng Jiang · Kun Gai · Bo An
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Poster
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Wed 15:00
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Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi · Daiki Chijiwa · Sekitoshi Kanai · Atsutoshi Kumagai · Hisashi Kashima
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Poster
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Tue 8:45
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Path following algorithms for ℓ2-regularized M-estimation with approximation guarantee
Yunzhang Zhu · Renxiong Liu
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Poster
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Wed 15:00
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Regularized Behavior Cloning for Blocking the Leakage of Past Action Information
Seokin Seo · HyeongJoo Hwang · Hongseok Yang · Kee-Eung Kim
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Workshop
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Robustness and Regularization in Reinforcement Learning
Esther Derman · Yevgeniy Men · Matthieu Geist · Shie Mannor
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Poster
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Wed 8:45
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An Information Theory Perspective on Variance-Invariance-Covariance Regularization
Ravid Shwartz-Ziv · Randall Balestriero · Kenji Kawaguchi · Tim G. J. Rudner · Yann LeCun
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Workshop
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Identifiable attribution maps using regularized contrastive learning
Steffen Schneider · Rodrigo González Laiz · Markus Frey · Mackenzie Mathis
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Workshop
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Consensus Optimization at Representation: Improving Personalized Federated Learning via Data-Centric Regularization
Heng Zhu · Arya Mazumdar
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