Theses most similar to Stochastic methods for large-scale linear problems, variational inequalities, and convex optimization (Wang, Mengdi; 2013) read it

Solving linear partial differential equations via semidefinite optimization

Caramanis, Constantine (Constantine Michael), 1977- (2001)

  • Advisor: Dimitris Bertsimas Pablo A. Parrilo
  • Department of Electrical Engineering and Computer Science
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Actor-critic algorithms

Konda, Vijaymohan (Vijaymohan Gao), 1973- (2002)

  • Advisor: John N. Tsitsiklis
  • Department of Electrical Engineering and Computer Science
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Krylov subspace estimation

Schneider, Michael K. (Michael Klaus) (2001)

  • Advisor: Alan S. Willsky
  • Department of Electrical Engineering and Computer Science
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Essays on set estimation and inference with moment inequalities

Menzel, Konra (2009)

  • Advisors: Newey, Whitney K; Victor Chernozhukov
  • Department of Economics
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Essays on identification and semiparametric econometrics

Schrimpf, Paul (2011)

  • Advisors: Newey, Whitney K; Victor Chernozhukov
  • Department of Economics
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Convex optimization methods for graphs and statistical modeling

Chandrasekaran, Venkat (2011)

  • Advisors: Alan S. Willsky; Dimitris Bertsimas Pablo A. Parrilo
  • Department of Electrical Engineering and Computer Science
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Subspace identification via convex optimization

Saunderson, James (James Francis) (2011)

  • Advisors: Alan S. Willsky; Dimitris Bertsimas Pablo A. Parrilo
  • Department of Electrical Engineering and Computer Science
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Computer-assisted proofs in geometry and physics

Minton, Gregory T. (Gregory Thomas) (2013)

  • Advisor: Abhinav Kumar
  • Department of Mathematics
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Solving asymmetric variational inequality problems and systems of equations with generalized nonlinear programming algorithms

Hammond, Janice H (1984)

  • Advisor: Thomas L. Magnanti
  • Department of Mathematics
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Efficient sampling for determinantal point processes

Li, Chengta (2016)

  • Advisors: Stefanie Jegelk; Suvrit Sra
  • Department of Electrical Engineering and Computer Science
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