Algorithms with predictions

Author:

Mitzenmacher Michael1,Vassilvitskii Sergei2

Affiliation:

1. Harvard School of Engineering and Applied Sciences, Cambridge, MA

2. Google Research, New York, NY

Abstract

Seeking a new approach that goes beyond worst-case analysis.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference17 articles.

1. Antoniadis , A. et al. Secretary and online matching problems with machine learned advice . In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020 , H. Larochelle et al., Eds. NeurIPS 2020 (Dec. 6--12 (virtual) 2020). Antoniadis, A. et al. Secretary and online matching problems with machine learned advice. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, H. Larochelle et al., Eds. NeurIPS 2020 (Dec. 6--12 (virtual) 2020).

2. Distortion-Oblivious Algorithms for Minimizing Flow Time

3. Balcan , M. Data-driven algorithm design. CoRR abs/2011.07177 ( 2020 ). Balcan, M. Data-driven algorithm design. CoRR abs/2011.07177 (2020).

4. Dinitz , M. et al. Faster matchings via learned duals . In Advances in Neural Information Processing Systems ( 2021 ), M. Ranzato, A. et al., Eds., vol. 34 , Curran Associates, Inc ., 10393--10406. Dinitz, M. et al. Faster matchings via learned duals. In Advances in Neural Information Processing Systems (2021), M. Ranzato, A. et al., Eds., vol. 34, Curran Associates, Inc., 10393--10406.

5. Secretaries with Advice

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