Statistical Learning


. Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients. Journal of the Royal Statistical Society: Series B (Statistical Methodology), accepted, 2019.

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. Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. AISTATS, accepted, 2018.

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. Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability. Journal of Machine Learning Research W&CP, vol.75 (COLT), 857-875, 2018.

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. Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP. Journal of Machine Learning Research W&CP, vol.70 (ICML), 1780-1788, 2017.

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. Learning with Square Loss: Localization through Offset Rademacher Complexity. Journal of Machine Learning Research W&CP, vol.40 (COLT), 1260–1285, 2015.

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