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Emerging Challenges in Deep Learning

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The Measure and Mismeasure of Fairness

Aug 7, 2019 · Simons Institute for the Theory of Computing

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Integrating Constraints into Deep Learning Architectures with Structured Layers

Aug 7, 2019 · Simons Institute for the Theory of Computing

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Towards Verified Deep Learning

Aug 7, 2019 · Simons Institute for the Theory of Computing

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Reinforcement Learning via an Optimization Lens

Aug 7, 2019 · Simons Institute for the Theory of Computing

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Reinforcement Learning in Recommender Systems: Some Challenges

Aug 6, 2019 · Simons Institute for the Theory of Computing

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Off-policy Policy Optimization

Aug 6, 2019 · Simons Institute for the Theory of Computing

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Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes

Aug 6, 2019 · Simons Institute for the Theory of Computing

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On the Hardness of Reinforcement Learning With Value-function Approximation

Aug 6, 2019 · Simons Institute for the Theory of Computing

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Reinforcement Learning in Feature Space: Complexity and Regret

Aug 6, 2019 · Simons Institute for the Theory of Computing

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Flexible Neural Networks and the Frontiers of Meta-Learning

Aug 6, 2019 · Simons Institute for the Theory of Computing

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