University of California, Berkeley 517 Soda Hall
I am a year PhD student in Computer Science at UC Berkeley, jointly advised by Michael I. Jordan and Benjamin Recht. Interested in the relationship between machine learning, statistics, and optimization, I am currently thinking about the sample complexity of reinforcement learning and control theory problems.
Before moving to Berkeley, I graduated with a bachelor's degree in Mathematics from Princeton University, where I was advised by Sébastien Bubeck.
Simple random search of static linear policies is competitive for reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht; Neural Information Processing Systems Conference (NeurIPS); 2018.
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu; Neural Information Processing Systems Conference (NeurIPS); 2018.
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht; Conference on Learning Theory (COLT) 75, 439-473; 2018.
On kernel methods for covariates that are rankings
Horia Mania, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan, Benjamin Recht; Electronic Journal of Statistics 12 (2), 2537-2577; 2018.
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu; arxiv (under review); 2017.
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
Horia Mania, Xinghao Pan, Dimitris Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan; SIAM Journal of Optimization 27 (4), 2202-2229; 2017.
On paths, stars and wyes in trees
Sébastien Bubeck, Katherine Edwards, Horia Mania, Cathryn Supko. arXiv 2016.
Wilmes' Conjecture and Boundary Divisors
Horia Mania. arXiv 2012.