Stochastic scheduling [Updated version of article in Encyclopedia of Optimization, C. A. Floudas and P. M. Pardalos, eds., vol. V, pp, 2001. Kluwer, Dordrecht] Jos´e Ni˜no-Mora ∗ Revised: October 4, 2005

Source URL: halweb.uc3m.es

ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models Sanjay Krishnan, Jiannan Wang, Eugene Wu † , Michael J. Franklin, Ken Goldberg UC Berkeley, † Columbia University {sanjaykrishnan, jnwang, fran

Source URL: sampleclean.org

• Statistics
• Statistical theory
• Estimator
• Statistical inference
• M-estimators
• Convex optimization
• Stochastic gradient descent
• Bias of an estimator
• Loss function
• Data analysis
• Linear regression
• Generalised Hough transform

Deterministic MDPs with Adversarial Rewards and Bandit Feedback Raman Arora TTIC 6045 S. Kenwood Ave. Chicago, IL 60637, USA

Source URL: dept.stat.lsa.umich.edu

• Markov models
• Markov processes
• Stochastic optimization
• Mathematical optimization
• Operations research
• Reinforcement learning
• Markov decision process
• Algorithm
• Multi-armed bandit
• Dynamic programming
• Shortest path problem
• PP

An Empirical Evaluation of Thompson Sampling Lihong Li Yahoo! Research Santa Clara, CA

Source URL: papers.nips.cc

• Statistics
• Probability distributions
• Statistical inference
• Estimation theory
• Machine learning
• Stochastic optimization
• Bayesian inference
• Sampling
• Normal distribution
• Beta distribution
• Multi-armed bandit
• Confidence interval

approximate-mdps-notes.dvi

Source URL: www.stat.berkeley.edu

• Operations research
• Numerical analysis
• Mathematical optimization
• Mathematical analysis
• Optimal control
• Dynamic programming
• Markov decision process
• Stochastic control

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Y¨ucesan, eds. EMPIRICAL STOCHASTIC BRANCH-AND-BOUND FOR OPTIMIZATION VIA SIMULATION Wendy Lu Xu Barry L. N

Source URL: www.informs-sim.org

STOCHASTIC BLOCK MIRROR DESCENT METHODS FOR NONSMOOTH AND STOCHASTIC OPTIMIZATION ∗ CONG D. DANG † AND

Source URL: www.ise.ufl.edu

Stochastic Optimization for PCA and PLS Raman Arora, Andrew Cotter, Karen Livescu and Nathan Srebro Toyota Technological Institute at Chicago 6045 S. Kenwood Ave. Chicago, IllinoisEmail: {arora,cotter,klivescu,nat

Source URL: ttic.uchicago.edu

Robust Optimization with Recovery: Application to Shortest Paths and Airline Scheduling Niklaus Eggenberg, Transport and Mobility Laboratory, EPFL Matteo Salani, Transport and Mobility Laboratory, EPFL Michel Bierlaire,

Source URL: www.strc.ch

• Operations research
• Mathematical optimization
• Mathematics
• Mathematical analysis
• Shortest path problem
• Robust optimization
• Linear programming
• Stochastic optimization
• SAMPL
• Global optimization
• Scenario optimization

Solving Chance-Constrained Optimization Problems with Stochastic Quadratic Inequalities Miguel A. Lejeune∗, F. Margot† Abstract We study a complex class of stochastic programming problems involving a joint chance con

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