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Dionysios S. Kalogerias

Yale | Department of EE

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

Next Post 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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Cell: +1 (732) 692-7564
e-mail: dionysis.kalogerias@yale.edu

Latest News

Started as assistant professor at Yale EE. July 1, 2021
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). May 12, 2021
Paper “Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space” was accepted for presentation at ISIT 2021. April 30, 2021
New paper “Uncertainty Principles for Risk-Aware Statistical Estimation” (see preprint in “Publications”). March 28, 2021
Preprint “Optimal Rates for Learning Hidden Tree Structures” posted on arXiv (https://arxiv.org/pdf/1909.09596.pdf). March 17, 2021
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). February 15, 2021
Preprint for paper on noisy linear convergence of SGD for CV@R learning under Polyak-Łojasiewicz inequalities available in “Publications” (soon on arXiv). December 8, 2020
Check out new video presentation for CDC 2020 risk-aware LQR paper (see right above). December 8, 2020
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. October 28, 2020
Another paper on actor-only deterministic policy gradient via zeroth-order action-space oracles submitted. October 21, 2020
Our paper titled “Model-Free Learning of Optimal Ergodic Policies in Wireless Systems” was just accepted to the IEEE Transactions on Signal Processing (to appear, check out updated preprint). September 24, 2020
New (and my first) blog article on the connections between policy gradient and zeroth-order methods posted in “Blogs and Discussion”; check it out. August 7, 2020
Our award-winning work on risk-aware MMSE estimation has been accepted for oral presentation at the 2020 INFORMS Annual Meeting; read our preprint in “Publications” (also on arXiv). July 17, 2020
Our paper on risk-aware LQRs has been accepted for presentation at CDC 2020; read our preprint (“Publications”, also on arXiv). July 15, 2020
Revised preprint of our work on Zeroth-order Deterministic Policy Gradient (ZDPG) just uploaded; this also contains a more detailed numerical results section. July 12, 2020

Dionysios S. Kalogerias

Yale | Department of EE

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