READING GROUP


 

SCHEDULE:

 

 

 

 

 

 

  • September 27, 2006 - Room 32-D707 @ 4 p.m. : Dan Iancu presented the papers:

 

 

 


 

COMPLETE READING LIST:

 

  • Parallel-Distributed Optimization:

 

 

 

  • Decentralized control

 

    • H.S. Witsenhausen, A counterexample in stochastic optimum control , SIAM Journal of Control, 1968.
    • SH Wang, E Davison, On the Stabilization of Decentralized Control Systems, IEEE Transactions on Automatic Control, 1973.
    • N. Sandell, P. Varaiya, M.Athans, M.. Safonov, Survey of decentralized control methods for large scale systems, IEEE Transactions on Automatic Control, Vol 23, No 2, 1978.
    • C. Langbort, R.S. Chandra and R. D'Andrea. Distributed Control Design for Systems Interconnected over an Arbitrary Graph. IEEE TAC, vol.49 no.9, pp1502-1519, 2004.

 

 

  • Learning:

 

    • D. Blackwell. An analog of the minimax theorem for vector payoffs. Pacific Journal of Mathematics, 6:1--8, 1956.
    • Hanan, J., `Approximation to bayes risk in repeated plays', in M. Dresher, A.W Tucker and P. Wolfe, editors, Contributions to the Theory of Games of Games, volume 3, 97139, Princeton University Press, 1957.
    • D. Foster and R. Vohra, “Calibrated Learning and Correlated Equilibrium,” Games and Economic Behaviour, 1997.
    • D. Foster and R. Vohra, “Regret in the On-line Decision Problem,"Games and Economic Behavior, 1999, 7 - 36.
    • D. Foster and H. P. Young, “Learning, Hypothesis Testing, and Nash Equilibrium”
    • Sham Kakade and D. Foster, “Deterministic Calibration and Nash Equilibrium,” COLT, 2004.
    • S. Hart and A. Mas-Colell. A simple adaptive procedure leading to correlated equilibrium. Econometrica, 68:1127--1150, 2000.
    • D. Fudenberg and D. Levine. Universal consistency and cautious fictitious play. Journal of Economic Dynamic and Control, 19:1065--1190, 1995.

 

  • Approximate Dynamic Programming: (both value function approximation and optimization in policy space)

 

 

  • Queueing Systems and Networks:

 

 

  • Nonsmooth Optimization: (bundle methods, gradient sampling etc.)

 

    • Krzysztof C. Kiwiel, “An aggregate subgradient method for convex nonsmooth minimization,” Math. Programming, 1983.
    • Krzysztof C. Kiwiel, “Proximity control in bundle methods forconvex nonsmooth optimization,” Math. Programming, vol. 46, 105-122, 1990.
    • Krzysztof C. Kiwiel, “Proximal level bundle methods for convex nondifferentiable optimization, saddle-point problems and variational inequalities,” Math. Program. 69: 89-109, 1995.
    • C. Helmberg and F. Rendl, “A Spectral Bundle Method for Semidefinite Programming,” SIAM Journal on Optimization, vol. 10 ,  Issue 3, 1999.
    • J.V. Burke, A.S. Lewis and M.L. Overton, “A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization,” SIAM J. Optimization 15, pp. 751-779, 2005.
    • A.S.Lewis and M.L.Overton, “Eigenvalue Optimization,” Acta Numerica 5, pp. 149-190, 1996.