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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

Paper “Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning” accepted to the SIAM Journal on Optimization (to appear, available in “Publications”). January 11, 2022
New preprint for paper “Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning” (available in “Publications”). December 15, 2021
New Paper “Linear Quadratic Control with Risk Constraints” (see preprint in “Publications”). December 14, 2021
Preprint and code for MLSP paper “Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration” now available for download in “Publications”. August 22, 2021
Will be an invited speaker at the Workshop on Aware-learning: how to benefit from priors, during CDC 2021 (https://sites.google.com/view/cdc2021workshop-aware-learning/home). August 16, 2021
New Paper “Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration” was just accepted for presentation at MLSP 2021. August 15, 2021
Paper “Uncertainty Principles in Risk-Aware Statistical Estimation” was accepted for presentation at CDC 2021. August 1, 2021
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

Dionysios S. Kalogerias

Yale | Department of EE

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