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Workshop on New Directions in Optimization, Statistics and Machine Learning

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Steps towards more human-like learning in machines - Josh Tenenbaum

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Interpretability for Everyone - Been Kim

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Tradeoffs between Robustness and Accuracy - Percy Liang

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Modularity, Attention and Credit Assignment...computations - Anirudh Goyal

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The Peculiar Optimization and Regularization Challenges...Meta-Learning - Chelsea Finn

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Deep equilibrium models via monotone operators - Zico Kolter

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Do Simpler Models Exist and How Can We Find Them? - Cynthia Rudin

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Evaluating Lossy Compression Rates of Deep Generative Models - Roger Grosse

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Generative Modeling by Estimating Gradients of the Data Distribution - Stefano Ermon

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Iterative Random Forests (iRF) with applications to genomics and precision medicine - Bin Yu

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