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Synthesizing Machine Learning Programs with PAC Guarantees via
  Statistical Sketching

Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching

11 October 2021
Osbert Bastani
ArXivPDFHTML

Papers citing "Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching"

4 / 4 papers shown
Title
Learning Differentiable Programs with Admissible Neural Heuristics
Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah
Eric Zhan
Jennifer J. Sun
Abhinav Verma
Yisong Yue
Swarat Chaudhuri
149
43
0
23 Jul 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park
Osbert Bastani
Nikolai Matni
Insup Lee
UQCV
146
68
0
31 Dec 2019
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
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