Horia Mania

According to our database1, Horia Mania authored at least 18 papers between 2016 and 2023.

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Bibliography

2023
Model Predictive Control via On-Policy Imitation Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

2022
Active Learning for Nonlinear System Identification with Guarantees.
J. Mach. Learn. Res., 2022

Time Varying Regression with Hidden Linear Dynamics.
Proceedings of the Learning for Dynamics and Control Conference, 2022

2021
Bandit Learning in Decentralized Matching Markets.
J. Mach. Learn. Res., 2021

2020
The sample complexity of simple reinforcement learning.
PhD thesis, 2020

On the Sample Complexity of the Linear Quadratic Regulator.
Found. Comput. Math., 2020

Why do classifier accuracies show linear trends under distribution shift?
CoRR, 2020

Evaluating Machine Accuracy on ImageNet.
Proceedings of the 37th International Conference on Machine Learning, 2020

Competing Bandits in Matching Markets.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Certainty Equivalent Control of LQR is Efficient.
CoRR, 2019

Certainty Equivalence is Efficient for Linear Quadratic Control.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Model Similarity Mitigates Test Set Overuse.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Simple random search provides a competitive approach to reinforcement learning.
CoRR, 2018

Simple random search of static linear policies is competitive for reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification.
Proceedings of the Conference On Learning Theory, 2018

2017
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization.
SIAM J. Optim., 2017

2016
Universality of Mallows' and degeneracy of Kendall's kernels for rankings.
CoRR, 2016


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