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Efficient Second-Order Methods for Second-Order Cone Programs and Continuous Nonlinear Two-Stage Optimization Problems
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Application of Constrained Optimization Models to Recommender Systems
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On the Theory of Deep Reinforcement Learning: Global Convergence and Sample Efficiency
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Provably Efficient Reinforcement Learning
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Space-Filling Designed Sampling from Databases
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On the Optimality and Complexity of Reinforcement Learning
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Algorithms for Data-driven Decision Making
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Methods for Nonlinear and Noisy Optimization
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Predictive Models for Group-Structured Regression and Classification Problems
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Leveraging Structure of Uncertainty for Adaptive Policies in Multistage Decision-Making
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