Reading in Progress

PriorityPower SystemOptimizationMachine LearningDynamics and ControlStatus
High[1][2][3] [4]  
Mid  [5]  
Low [6] [7]   
  1. Sundar, Kaarthik, Harsha Nagarajan, Line Roald, Sidhant Misra, Russell Bent, and Daniel Bienstock. “Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty.” IEEE Transactions on Control of Network Systems (2019). 

  2. Lecture notes on bipartite matching 

  3. Thomas, Philip S., Bruno Castro da Silva, Andrew G. Barto, and Emma Brunskill. “On ensuring that intelligent machines are well-behaved.” arXiv preprint arXiv:1708.05448 (2017). 

  4. Bertsimas, Dimitris, and Martin S. Copenhaver. “Characterization of the equivalence of robustification and regularization in linear and matrix regression.” European Journal of Operational Research 270, no. 3 (2018): 931-942. 

  5. Xie, Weijun, and Xinwei Deng. “The CCP selector: Scalable algorithms for sparse ridge regression from chance-constrained programming.” arXiv preprint arXiv:1806.03756 (2018). 

  6. Statistical machine learning and convex optimization, https://www.di.ens.fr/~fbach/fbach_mlss_2018.pdf 

  7. Francis Bach, Stochastic Variance-Reduced Optimization for Machine Learning, part1, part2