Publications

Representative publications

  • N. Azizan Ruhi, K. Dvijotham, N. Chen, and A. Wierman, “Opportunities for Price Manipulation by Aggregators in Electricity Markets,” ArXiv e-prints.
  • K. Dvijotham, Y. Rabani, and L. Schulman, “Convergence of incentive-driven dynamics in Fisher markets,” in Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2017, Barcelona, Spain, January 10-12, 2017, 2017, pp. 2039–2052.
  • K. Dvijotham, M. Chertkov, P. Van Hentenryck, M. Vuffray, and S. Misra, “Graphical models for optimal power flow,” Constraints, pp. 1–26, 2016.
  • K. Dvijotham, E. Todorov, and M. Fazel, “Convex Structured Controller Design in Finite Horizon,” IEEE Transactions on Control of Network Systems, vol. 2, no. 1, pp. 1–10, 2015.
  • K. Dvijotham and K. Turitsyn, “Construction of power flow feasibility sets,” ArXiv e-prints, Jun. 2015.
  • K. Dvijotham, M. Fazel, and E. Todorov, “Universal Convexification via Risk-Aversion,” in Proceedings of the Thirtieth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-14), Corvallis, Oregon, 2014, pp. 162–171.
  • K. Dvijotham and E. Todorov, “Linearly Solvable Optimal Control,” in Reinforcement Learning and Approximate Dynamic Programming for Feedback Control, John Wiley & Sons, Inc., 2013, pp. 119–141.

Full list of publications

2017

  • K. Dvijotham, Y. Rabani, and L. Schulman, “Convergence of incentive-driven dynamics in Fisher markets,” in Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2017, Barcelona, Spain, January 10-12, 2017, 2017, pp. 2039–2052.

2016

  • K. Dvijotham and D. Molzahn, “Error bounds on the DC power flow approximation: A convex relaxation approach,” in 2016 55th IEEE Conference on Decision and Control (CDC), 2016, pp. 23–30.
  • K. Dvijotham, M. Chertkov, P. Van Hentenryck, M. Vuffray, and S. Misra, “Graphical models for optimal power flow,” Constraints, pp. 1–26, 2016.

2015

  • K. Dvijotham, E. Todorov, and M. Fazel, “Convex Structured Controller Design in Finite Horizon,” IEEE Transactions on Control of Network Systems, vol. 2, no. 1, pp. 1–10, 2015.
  • K. Dvijotham, M. Vuffray, S. Misra, and M. Chertkov, “Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach,” ArXiv e-prints, Jun. 2015.
  • K. Dvijotham and K. Turitsyn, “Construction of power flow feasibility sets,” ArXiv e-prints, Jun. 2015.
  • K. Dvijotham, S. Low, and M. Chertkov, “Solving the power flow equations: a monotone operator approach,” ArXiv e-prints, Jun. 2015.
  • K. Dvijotham and M. Chertkov, “Convexity of structure preserving energy functions in power transmission: Novel results and applications,” in 2015 American Control Conference (ACC), 2015, pp. 5035–5042.
  • K. Dvijotham, M. Chertkov, and S. Low, “A differential analysis of the power flow equations,” in 2015 54th IEEE Conference on Decision and Control (CDC), 2015, pp. 23–30.
  • K. Dvijotham, “Systems of quadratic equations: Efficient solution algorithms and conditions for solvability,” in 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015, pp. 1027–1031.

2014

  • K. Dvijotham, M. Chertkov, and S. Backhaus, “Storage sizing and placement through operational and uncertainty-aware simulations,” in 2014 47th Hawaii International Conference on System Sciences, 2014, pp. 2408–2416.
  • K. Dvijotham, “Automating Stochastic Optimal Control,” PhD thesis, 2014.
  • K. Dvijotham, M. Fazel, and E. Todorov, “Universal Convexification via Risk-Aversion,” in Proceedings of the Thirtieth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-14), Corvallis, Oregon, 2014, pp. 162–171.
  • K. Dvijotham, M. Fazel, and E. Todorov, “Convex risk averse control design,” in 53rd IEEE Conference on Decision and Control, 2014, pp. 4020–4025.

2013

  • K. Dvijotham and E. Todorov, “Linearly Solvable Optimal Control,” in Reinforcement Learning and Approximate Dynamic Programming for Feedback Control, John Wiley & Sons, Inc., 2013, pp. 119–141.
  • E. Theodorou, D. Krishnamurthy, and E. Todorov, “From information theoretic dualities to path integral and kullback-leibler control: Continuous and discrete time formulations,” in The Sixteenth Yale Workshop on Adaptive and Learning Systems, 2013.
  • E. Theodorou, K. Dvijotham, and E. Todorov, “Time varying nonlinear Policy Gradients.,” in CDC, 2013, pp. 7765–7770.
  • K. Dvijotham and R. Sharma, “Battery life estimation in a real-time energy management system,” in 2013 IEEE Power Energy Society General Meeting, 2013, pp. 1–5.

2012

  • K. Dvijotham and E. Todorov, “Linearly solvable Markov games,” in 2012 American Control Conference (ACC), 2012, pp. 1845–1850.
  • K. Dvijotham, S. Backhaus, and M. Chertkov, “Distributed control of generation in a transmission grid with a high penetration of renewables,” in Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on, 2012, pp. 635–640.

2011

  • K. Dvijotham and E. Todorov, “A Unifying Framework for Linearly Solvable Control,” in Proceedings of the Twenty-Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-11), Corvallis, Oregon, 2011, pp. 179–186.
  • K. Dvijotham, S. Backhaus, and M. Chertkov, “Operations-Based Planning for Placement and Sizing of Energy Storage in a Grid With a High Penetration of Renewables,” ArXiv e-prints, Jul. 2011.

2010 and earlier

  • K. Dvijotham and E. Todorov, “Inverse optimal control with linearly-solvable MDPs,” in Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010, pp. 335–342.
  • K. Dvijotham and M. Fazel, “A nullspace analysis of the nuclear norm heuristic for rank minimization,” in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, pp. 3586–3589.
    • K. Dvijotham, S. Chakrabarti, and S. Chaudhuri, “New Closed-Form Bounds on the Partition Function,” in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2008, pp. 8–8.