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Gradient descent learns linear dynamical systems
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Approaching fairness in machine learning
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Stability as a foundation of machine learning
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Adaptive data analysis
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Navigate the garden of the forking paths
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Towards practicing differential privacy
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Competing in a data science contest without reading the data
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Goodbye Wordpress, never again
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The NIPS experiment
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How big data is unfair
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Robustness versus acceleration
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Pearson's polynomial
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False discovery and differential privacy
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Power method still powerful
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The geometric view on sparse recovery
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Hello TCS Aggregator!
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The zen of gradient descent
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What should a theory of big data say?
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Is differential privacy practical?
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Occupy algorithms: Will algorithms serve the 99%?
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What I might blog about