Optimal adaptive transmission for a cognitive radio with sensing. - Sidhant Misra; Stefan Geirhofer; Lang Tong 001 (ICASSP, 2008)

Sparse measurements, compressed sampling, and DNA microarrays. - Haris Vikalo; Farzad Parvaresh; Sidhant Misra; Babak Hassibi (ICASSP, 2008)

Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays. - Farzad Parvaresh; Haris Vikalo; Sidhant Misra; Babak Hassibi (IEEE J. Sel. Top. Signal Process., 2008)

Analysis of weighted ℓ1-minimization for model based compressed sensing - Sidhant Misra; Pablo A. Parrilo (CoRR, 2013)

Decay of correlations and inference in graphical models. - Sidhant Misra (2014)

Optimal Power Flow with Weighted chance constraints and general policies for generation control. - Line Roald; Sidhant Misra; Michael Chertkov; Göran Andersson (CDC, 2015)

Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows. - Marc Vuffray; Sidhant Misra; Michael Chertkov (CDC, 2015)

Pressure Fluctuations in Natural Gas Networks Caused by Gas-Electric Coupling. - Michael Chertkov; Michael W. Fisher; Scott Backhaus; Russell Bent; Sidhant Misra (HICSS, 2015)

Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. - Krishnamurthy Dvijotham; Marc Vuffray; Sidhant Misra; Michael Chertkov (CoRR, 2015)

Strong spatial mixing of list coloring of graphs. - David Gamarnik; Dmitriy Katz; Sidhant Misra (Random Struct. Algorithms, 2015)

Optimal Compression in Natural Gas Networks: A Geometric Programming Approach. - Sidhant Misra; Michael W. Fisher; Scott Backhaus; Russell Bent; Michael Chertkov; Feng Pan 005 (IEEE Trans. Control. Netw. Syst., 2015)

Weighted ℓ1-Minimization for Generalized Non-Uniform Sparse Model. - Sidhant Misra; Pablo A. Parrilo (IEEE Trans. Inf. Theory, 2015)

Monotonicity of actuated flows on dissipative transport networks. - Anatoly Zlotnik; Sidhant Misra; Marc Vuffray; Michael Chertkov (ECC, 2016)

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. - Marc Vuffray; Sidhant Misra; Andrey Y. Lokhov; Michael Chertkov (NIPS, 2016)

Optimal power flow with wind power control and limited expected risk of overloads. - Line Roald; Göran Andersson; Sidhant Misra; Michael Chertkov; Scott Backhaus (PSCC, 2016)

Unit commitment with N-1 Security and wind uncertainty. - Kaarthik Sundar; Harsha Nagarajan; Miles Lubin; Line Roald; Sidhant Misra; Russell Bent; Daniel Bienstock (PSCC, 2016)

Optimal structure and parameter learning of Ising models. - Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra; Michael Chertkov (CoRR, 2016)

A Generalized Bass Model for Product Growth in Networks. - Vahideh H. Manshadi; Sidhant Misra (CoRR, 2016)

Chance Constrained Optimal Power Flow with Curtailment and Reserves from Wind Power Plants. - Line Roald; Sidhant Misra; Michael Chertkov; Scott Backhaus; Göran Andersson (CoRR, 2016)

A Note on Alternating Minimization Algorithm for the Matrix Completion Problem. - David Gamarnik; Sidhant Misra (IEEE Signal Process. Lett., 2016)

Optimized risk limits for stochastic optimal power flow. - Line Roald; Sidhant Misra; Andrew Morrison; Göran Andersson (CDC, 2017)

Graphical models for optimal power flow. - Krishnamurthy Dvijotham; Michael Chertkov; Pascal Van Hentenryck; Marc Vuffray; Sidhant Misra (Constraints An Int. J., 2017)

Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows. - Michael Chertkov; Sidhant Misra; Marc Vuffray; Dvijotham Krishnamurty; Pascal Van Hentenryck (CoRR, 2017)

Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. - Sidhant Misra; Marc Vuffray; Andrey Y. Lokhov; Michael Chertkov (CoRR, 2017)

A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty. - Kaarthik Sundar; Harsha Nagarajan; Line Roald; Sidhant Misra; Russell Bent; Daniel Bienstock (CoRR, 2017)

Learning for DC-OPF: Classifying active sets using neural nets. - Deepjyoti Deka; Sidhant Misra (CoRR, 2019)

Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach. - Tillmann Mühlpfordt; Line Roald; Veit Hagenmeyer; Timm Faulwasser; Sidhant Misra (CoRR, 2019)

Stochastic AC Optimal Power Flow: A Data-Driven Approach. - Ilyès Mezghani; Sidhant Misra; Deepjyoti Deka (CoRR, 2019)

Chance-Constrained Unit Commitment With N-1 Security and Wind Uncertainty. - Kaarthik Sundar; Harsha Nagarajan; Line Roald; Sidhant Misra; Russell Bent; Daniel Bienstock (IEEE Trans. Control. Netw. Syst., 2019)

Information Theoretic Optimal Learning of Gaussian Graphical Models. - Sidhant Misra; Marc Vuffray; Andrey Y. Lokhov (COLT, 2020)

Learning of Discrete Graphical Models with Neural Networks. - Abhijith Jayakumar; Andrey Y. Lokhov; Sidhant Misra; Marc Vuffray (NeurIPS, 2020)

Efficient Learning of Discrete Graphical Models. - Marc Vuffray; Sidhant Misra; Andrey Y. Lokhov (NeurIPS, 2020)

Tractable learning in under-excited power grids. - Deepjyoti Deka; Harish Doddi; Sidhant Misra; Murti V. Salapaka (CoRR, 2020)

Diffusion in Random Networks: Impact of Degree Distribution. - Vahideh H. Manshadi; Sidhant Misra; Scott Rodilitz (Oper. Res., 2020)

Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation. - Sidhant Misra; Marc Vuffray; Anatoly Zlotnik (Proc. IEEE, 2020)

An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems. - Line A. Roald; Kaarthik Sundar; Anatoly Zlotnik; Sidhant Misra; Göran Andersson (Proc. IEEE, 2020)

Robust Gas Pipeline Network Expansion Planning to Support Power System Reliability. - Kaarthik Sundar; Sidhant Misra; Anatoly Zlotnik; Russell Bent (ACC, 2021)

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. - Arkopal Dutt; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (ICML, 2021)

Learning Continuous Exponential Families Beyond Gaussian. - Christopher X. Ren; Sidhant Misra; Marc Vuffray; Andrey Y. Lokhov (CoRR, 2021)

Credible Interdiction for Transmission Systems. - Kaarthik Sundar; Sidhant Misra; Russell Bent; Feng Pan 005 (IEEE Trans. Control. Netw. Syst., 2021)

A Data-Driven Method for Locating Sensors and Selecting Alarm Thresholds to Identify Violations of Voltage Limits in Distribution Systems. - Paprapee Buason; Sidhant Misra; Daniel K. Molzahn (CoRR, 2022)

Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets. - Sidhant Misra; Line Roald; Yeesian Ng (INFORMS J. Comput., 2022)

Tractable Learning in Underexcited Power Grids. - Deepjyoti Deka; Harish Doddi; Sidhant Misra; Murti V. Salapaka (IEEE Trans. Control. Netw. Syst., 2022)

Optimization-Based Bound Tightening Using a Strengthened QC-Relaxation of the Optimal Power Flow Problem. - Kaarthik Sundar; Harsha Nagarajan; Sidhant Misra; Mowen Lu; Carleton Coffrin; Russell Bent (CDC, 2023)

General Algorithms for SPAM Noise Characterization. - Abhijith Jayakumar; Stefano Chessa; Carleton Coffrin; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (QCE, 2023)

Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes. - Parikshit Pareek; Deepjyoti Deka; Sidhant Misra (CoRR, 2023)

Data-Efficient Power Flow Learning for Network Contingencies. - Parikshit Pareek; Deepjyoti Deka; Sidhant Misra (CoRR, 2023)

Stochastic Finite Volume Method for Uncertainty Management in Gas Pipeline Network Flows. - Saif R. Kazi; Sidhant Misra; Svetlana Tokareva; Kaarthik Sundar; Anatoly Zlotnik (CDC, 2024)

QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models. - Zachary Morrell; Marc Vuffray; Sidhant Misra; Carleton Coffrin (QCE, 2024)

Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. - Parikshit Pareek; Abhijith Jayakumar; Carleton Coffrin; Sidhant Misra (CoRR, 2024)

An Efficient Quantum Algorithm for Linear System Problem in Tensor Format. - Zeguan Wu; Sidhant Misra; Tamás Terlaky; Xiu Yang; Marc Vuffray (CoRR, 2024)

Adaptive Power Flow Approximations with Second-Order Sensitivity Insights. - Paprapee Buason; Sidhant Misra; Jean-Paul Watson; Daniel K. Molzahn (CoRR, 2024)

Sample-Based Conservative Bias Linear Power Flow Approximations. - Paprapee Buason; Sidhant Misra; Daniel K. Molzahn (CoRR, 2024)

Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. - Parikshit Pareek; Kaarthik Sundar; Deepjyoti Deka; Sidhant Misra (CoRR, 2024)

Discrete distributions are learnable from metastable samples. - Abhijith Jayakumar; Andrey Y. Lokhov; Sidhant Misra; Marc Vuffray (CoRR, 2024)

Universal framework for simultaneous tomography of quantum states and SPAM noise. - Abhijith Jayakumar; Stefano Chessa; Carleton Coffrin; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (Quantum, 2024)

On the emerging potential of quantum annealing hardware for combinatorial optimization. - Byron Tasseff; Tameem Albash; Zachary Morrell; Marc Vuffray; Andrey Y. Lokhov; Sidhant Misra; Carleton Coffrin (J. Heuristics, 2024)

Sample-Based Piecewise Linear Power Flow Approximations Using Second-Order Sensitivities. - Paprapee Buason; Sidhant Misra; Daniel K. Molzahn (CoRR, 2025)