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25 Results
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Poster
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Tue 18:30 |
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning Liangpeng Zhang · Ke Tang · Xin Yao |
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Poster
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Tue 18:30 |
Learning Overcomplete HMMs Vatsal Sharan · Sham Kakade · Percy Liang · Gregory Valiant |
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Poster
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Wed 18:30 |
Minimizing a Submodular Function from Samples Eric Balkanski · Yaron Singer |
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Poster
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Tue 18:30 |
Sparse Approximate Conic Hulls Greg Van Buskirk · Benjamin Raichel · Nicholas Ruozzi |
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Poster
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Mon 18:30 |
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations Eirikur Agustsson · Fabian Mentzer · Michael Tschannen · Lukas Cavigelli · Radu Timofte · Luca Benini · Luc V Gool |
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Poster
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Mon 18:30 |
Working hard to know your neighbor's margins: Local descriptor learning loss Anastasiia Mishchuk · Dmytro Mishkin · Filip Radenovic · Jiri Matas |
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Poster
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Mon 18:30 |
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks Arturs Backurs · Piotr Indyk · Ludwig Schmidt |
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Poster
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Tue 18:30 |
Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? Cameron Musco · David Woodruff |
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Poster
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Tue 18:30 |
On the Complexity of Learning Neural Networks Le Song · Santosh Vempala · John Wilmes · Bo Xie |
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Poster
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Tue 18:30 |
Improved Dynamic Regret for Non-degenerate Functions Lijun Zhang · Tianbao Yang · Jinfeng Yi · Rong Jin · Zhi-Hua Zhou |
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Poster
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Tue 18:30 |
Convolutional Phase Retrieval Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright |
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Poster
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Wed 18:30 |
Approximation Algorithms for ℓ0-Low Rank Approximation Karl Bringmann · Pavel Kolev · David Woodruff |