Search Results for author: Priya L. Donti

Found 6 papers, 5 papers with code

Adversarially Robust Learning for Security-Constrained Optimal Power Flow

no code implementations NeurIPS 2021 Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi, J. Zico Kolter

In recent years, the ML community has seen surges of interest in both adversarially robust learning and implicit layers, but connections between these two areas have seldom been explored.

Frame

DC3: A learning method for optimization with hard constraints

1 code implementation ICLR 2021 Priya L. Donti, David Rolnick, J. Zico Kolter

Large optimization problems with hard constraints arise in many settings, yet classical solvers are often prohibitively slow, motivating the use of deep networks as cheap "approximate solvers."

Enforcing robust control guarantees within neural network policies

1 code implementation ICLR 2021 Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter

When designing controllers for safety-critical systems, practitioners often face a challenging tradeoff between robustness and performance.

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

3 code implementations29 May 2019 Po-Wei Wang, Priya L. Donti, Bryan Wilder, Zico Kolter

We demonstrate that by integrating this solver into end-to-end learning systems, we can learn the logical structure of challenging problems in a minimally supervised fashion.

Game of Suduko

Task-based End-to-end Model Learning in Stochastic Optimization

1 code implementation NeurIPS 2017 Priya L. Donti, Brandon Amos, J. Zico Kolter

With the increasing popularity of machine learning techniques, it has become common to see prediction algorithms operating within some larger process.

Stochastic Optimization

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