Horia Mania
Citadel Securities
Citadel Securities
I am quantitative researcher at Citadel Securities. Previously, I was a postdoctoral associate at the MIT Laboratory for Information & Decision Systems, where I was hosted by Ali Jadbabie , Devavrat Shah , and Suvrit Sra . I completed my PhD studies under the supervision of Michael I. Jordan and Benjamin Recht in the Department of Computer Science at University of California, Berkeley, and I received a bachelor's degree in Mathematics from Princeton University, where I was advised by Sébastien Bubeck.
My academic research focused on the foundations of machine learning and connections with reinforcement learning and control theory.
Model Predictive Control via On-Policy Imitation Learning
Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie;
Learning for dynamics and control (L4DC) 2023.
Time varying regression with hidden linear dynamics
Ali Jadbabaie, Horia Mania, Devavrat Shah, Suvrit Sra;
Learning for dynamics and control (L4DC) 2022.
Active Learning for Nonlinear System Identification with Guarantees
Horia Mania, Michael I. Jordan, Benjamin Recht;
Journal of Machine Learning Research (JMLR) 2022.
Bandit Learning in Decentralized Matching Markets
Lydia Liu, Feng Ruan, Horia Mania, Michael I. Jordan;
Journal of Machine Learning Research (JMLR) 2021.
Why do classifier accuracies show linear trends under distribution shift?
Horia Mania, Suvrit Sra; 2020.
Evaluating Machine Accuracy on ImageNet
Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt;
International Conference on Machine Learning (ICML); 2020.
Competing Bandits in Matching Markets
Lydia T. Liu, Horia Mania, Michael I. Jordan;
International Conference on Artificial Intelligence and Statistics (AISTATS); 2020.
Certainty Equivalence is Efficient for Linear
Quadratic Control
Horia Mania, Stephen Tu, Benjamin Recht;
Advances in Neural Information Processing Systems (NeurIPS); 2019.
Model Similarity Mitigates Test Set Overuse
Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht;
Advances in Neural Information Processing Systems (NeurIPS); 2019.
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu;
Foundations of Computational Mathematics (FOCM); 2019.
Simple random search of static linear policies is competitive for reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht;
Advances in Neural Information Processing Systems (NeurIPS); 2018.
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu;
Advances in Neural Information Processing Systems (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); 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; 2018.
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
Horia Mania, Xinghao Pan, Dimitris Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan;
SIAM Journal on Optimization; 2017.
On paths, stars and wyes in trees
Sébastien Bubeck, Katherine Edwards, Horia Mania, Cathryn Supko; 2016.
Wilmes' Conjecture and Boundary Divisors
Horia Mania; 2012.