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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world
Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan
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Poster
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Wed 14:00
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On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Yang Hu · Adam Wierman · Guannan Qu
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Workshop
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Tabular deep learning when by using an auxiliary knowledge graph
Camilo Ruiz · Hongyu Ren · Kexin Huang · Jure Leskovec
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Poster
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Tue 9:00
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A Theory of PAC Learnability under Transformation Invariances
Han Shao · Omar Montasser · Avrim Blum
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Poster
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Wed 14:00
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Optimal Weak to Strong Learning
Kasper Green Larsen · Martin Ritzert
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Poster
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Wed 9:00
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Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen · Vasilis Syrgkanis · Morgane Austern
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Workshop
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SMILE: Sample-to-feature MIxup for Efficient Transfer LEarning
Xingjian Li · Haoyi Xiong · Cheng-Zhong Xu · Dejing Dou
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Workshop
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Efficient Automatic Machine Learning via Design Graphs
Shirley Wu · Jiaxuan You · Jure Leskovec · Rex Ying
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Poster
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Tue 9:00
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Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Dilip Arumugam · Benjamin Van Roy
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Poster
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Tue 9:00
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Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
Jannik Kossen · Sebastian Farquhar · Yarin Gal · Thomas Rainforth
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Poster
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Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
Guan Gui · Zhen Zhao · Lei Qi · Luping Zhou · Lei Wang · Yinghuan Shi
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Poster
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A Deep Learning Dataloader with Shared Data Preparation
jian xie · Jingwei Xu · Guochang Wang · Yuan Yao · Zenan Li · Chun Cao · Hanghang Tong
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