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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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Workshop
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Combinational-convolution for flow-based sampling algorithm
Akio Tomiya
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Poster
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Tue 9:00
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Learning from Stochastically Revealed Preference
John Birge · Xiaocheng Li · Chunlin Sun
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Poster
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Trustworthy Monte Carlo
Juha Harviainen · Mikko Koivisto · Petteri Kaski
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Poster
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Wed 9:00
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Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue · Taihei Oki
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Poster
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Wed 14:00
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LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Ali Eshragh · Fred Roosta · Asef Nazari · Michael Mahoney
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Poster
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Thu 14:00
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A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
Kaixun Hua · Jiayang Ren · Yankai Cao
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Poster
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Tue 14:00
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Learning from a Sample in Online Algorithms
C.J. Argue · Alan Frieze · Anupam Gupta · Christopher Seiler
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Poster
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Tue 14:00
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Near-Optimal Collaborative Learning in Bandits
Clémence Réda · Sattar Vakili · Emilie Kaufmann
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Poster
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Tue 14:00
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Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani · Lin Yang · Csaba Szepesvari
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Poster
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Thu 9:00
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Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity
Sepehr Assadi · Chen Wang
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Poster
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Wed 9:00
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Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes · Will Ma · Omar Mouchtaki
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