Kevin Swersky
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Data-Driven Offline Optimization for Architecting Hardware Accelerators
Aviral Kumar
Sergey Levine
International Conference on Learning Representations 2022 (to appear)
A Hierarchical Neural Model of Data Prefetching
Zhan Shi
Akanksha Jain
Calvin Lin
Architectural Support for Programming Languages and Operating Systems (ASPLOS) (2021)
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Christopher Joseph Maddison
David Duvenaud
Will Grathwohl
ICML (2021)
Optimizing Long-term Social Welfare in Recommender Systems:A Constrained Matching Approach
Martin Mladenov
Elliot Creager
Omer Ben-Porat
Richard Zemel
Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML-20), Vienna, Austria (2020)
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey Everest Hinton
Advances in Neural Information Processing Systems (2020)
Apollo: Transferable Architecture Exploration
Albin Jones
Ravi Narayanaswami
Sat Chatterjee
ML for Systems Workshop at NeurIPS 2020
An Imitation Learning Approach for Cache Replacement
Evan Z. Liu
International Conference on Machine Learning (2020)
