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Paper “Uncertainty Principles in Risk-Aware Statistical Estimation” was accepted for presentation at CDC 2021.

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Started as assistant professor at Yale EE.

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Paper “Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme” was accepted to the IEEE Journal on Selected Areas in Information Theory (JSAIT), in the upcoming special issue on sequential, active and reinforcement learning (to appear, check out updated preprint).

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Paper “Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space” was accepted for presentation at ISIT 2021.

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New paper “Uncertainty Principles for Risk-Aware Statistical Estimation” (see preprint in “Publications”).

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Preprint “Optimal Rates for Learning Hidden Tree Structures” posted on arXiv (https://arxiv.org/pdf/1909.09596.pdf).

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February 15, 2021

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Paper titled “Predictive Learning for Hidden Tree-Structured Ising Models” was just accepted to the Journal of Machine Learning Research (JMLR) (to appear, check out updated preprint).

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December 9, 2020

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Preprint for paper on noisy linear convergence of SGD for CV@R learning under Polyak-Łojasiewicz inequalities available in “Publications” (soon on arXiv).

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December 9, 2020

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Check out new video presentation for CDC 2020 risk-aware LQR paper (see right above).

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October 28, 2020

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New paper on showing noisy linear convergence of stochastic gradient descent for CV@R-based risk-aware learning under Polyak-Łojasiewicz inequalities submitted. Preprint to be available soon.

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