no code implementations • 29 Sep 2021 • Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon
Several indices used in a factor graph data structure can be permuted without changing the underlying probability distribution.
no code implementations • 28 Sep 2021 • Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
When deploying machine learning models in high-stakes robotics applications, the ability to detect unsafe situations is crucial.
no code implementations • 21 Aug 2020 • Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese
In an extensive empirical study, we find that our algorithm improves calibration on domain-shift benchmarks under the constraints of differential privacy.
1 code implementation • NeurIPS 2020 • Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon
Learned neural solvers have successfully been used to solve combinatorial optimization and decision problems.
1 code implementation • NeurIPS 2019 • Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon
Computing the permanent of a non-negative matrix is a core problem with practical applications ranging from target tracking to statistical thermodynamics.
1 code implementation • 27 Jan 2018 • Jonathan Kuck, Ashish Sabharwal, Stefano Ermon
Rademacher complexity is often used to characterize the learnability of a hypothesis class and is known to be related to the class size.