Sidhant Misra

Orcid: 0000-0002-9064-0348

According to our database1, Sidhant Misra authored at least 48 papers between 2008 and 2024.

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Bibliography

2024
Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage.
CoRR, 2024

2023
Data-Efficient Power Flow Learning for Network Contingencies.
CoRR, 2023

Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes.
CoRR, 2023

General Algorithms for SPAM Noise Characterization.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Optimization-Based Bound Tightening Using a Strengthened QC-Relaxation of the Optimal Power Flow Problem.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Tractable Learning in Underexcited Power Grids.
IEEE Trans. Control. Netw. Syst., 2022

Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets.
INFORMS J. Comput., 2022

A Data-Driven Method for Locating Sensors and Selecting Alarm Thresholds to Identify Violations of Voltage Limits in Distribution Systems.
CoRR, 2022

2021
Credible Interdiction for Transmission Systems.
IEEE Trans. Control. Netw. Syst., 2021

Learning Continuous Exponential Families Beyond Gaussian.
CoRR, 2021

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics.
Proceedings of the 38th International Conference on Machine Learning, 2021

Robust Gas Pipeline Network Expansion Planning to Support Power System Reliability.
Proceedings of the 2021 American Control Conference, 2021

2020
An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems.
Proc. IEEE, 2020

Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation.
Proc. IEEE, 2020

Diffusion in Random Networks: Impact of Degree Distribution.
Oper. Res., 2020

Tractable learning in under-excited power grids.
CoRR, 2020

Efficient Learning of Discrete Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning of Discrete Graphical Models with Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Information Theoretic Optimal Learning of Gaussian Graphical Models.
Proceedings of the Conference on Learning Theory, 2020

2019
Chance-Constrained Unit Commitment With N-1 Security and Wind Uncertainty.
IEEE Trans. Control. Netw. Syst., 2019

Stochastic AC Optimal Power Flow: A Data-Driven Approach.
CoRR, 2019

Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach.
CoRR, 2019

Learning for DC-OPF: Classifying active sets using neural nets.
CoRR, 2019

2017
A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty.
CoRR, 2017

Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization.
CoRR, 2017

Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows.
CoRR, 2017

Graphical models for optimal power flow.
Constraints An Int. J., 2017

Optimized risk limits for stochastic optimal power flow.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
A Note on Alternating Minimization Algorithm for the Matrix Completion Problem.
IEEE Signal Process. Lett., 2016

Chance Constrained Optimal Power Flow with Curtailment and Reserves from Wind Power Plants.
CoRR, 2016

A Generalized Bass Model for Product Growth in Networks.
CoRR, 2016

Optimal structure and parameter learning of Ising models.
CoRR, 2016

Unit commitment with N-1 Security and wind uncertainty.
Proceedings of the Power Systems Computation Conference, 2016

Optimal power flow with wind power control and limited expected risk of overloads.
Proceedings of the Power Systems Computation Conference, 2016

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Monotonicity of actuated flows on dissipative transport networks.
Proceedings of the 15th European Control Conference, 2016

2015
Weighted ℓ<sub>1</sub>-Minimization for Generalized Non-Uniform Sparse Model.
IEEE Trans. Inf. Theory, 2015

Optimal Compression in Natural Gas Networks: A Geometric Programming Approach.
IEEE Trans. Control. Netw. Syst., 2015

Strong spatial mixing of list coloring of graphs.
Random Struct. Algorithms, 2015

Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach.
CoRR, 2015

Pressure Fluctuations in Natural Gas Networks Caused by Gas-Electric Coupling.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal Power Flow with Weighted chance constraints and general policies for generation control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Decay of correlations and inference in graphical models.
PhD thesis, 2014

2013
Analysis of weighted ℓ<sub>1</sub>-minimization for model based compressed sensing
CoRR, 2013

2008
Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays.
IEEE J. Sel. Top. Signal Process., 2008

Sparse measurements, compressed sampling, and DNA microarrays.
Proceedings of the IEEE International Conference on Acoustics, 2008

Optimal adaptive transmission for a cognitive radio with sensing.
Proceedings of the IEEE International Conference on Acoustics, 2008


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