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 ↩