Nikolai Matni
30 papers · 2018–2026 · 8 venues · across top CS/AI venues
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(4)
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Research topics
Keywords
sample complexity
(7)
adaptive control
(4)
system identification
(4)
generalization bound
(4)
regret bound
(3)
representation learning
(3)
continuous control
(3)
dependent data
(3)
linear quadratic regulator
(3)
imitation learning
(3)
sample efficiency
(3)
robust control
(3)
regret analysis
(2)
multi-task learning
(2)
policy optimization
(2)
nonlinear dynamics
(2)
state estimation
(2)
online learning
(2)
optimal control
(2)
event camera
(2)
Papers
Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
L4DC 2026
Domain Randomization is Sample Efficient for Linear Quadratic Control
L4DC 2025
Logarithmic Regret for Nonlinear Control
L4DC 2025
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
ICML 2025
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
AAAI 2025
State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?
L4DC 2025
EvDNeRF: Reconstructing Event Data With Dynamic Neural Radiance Fields
WACV 2024
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
ICML 2024
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
CoRL 2024
Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification
L4DC 2024
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
ICLR 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
ICML 2024
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles
L4DC 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
L4DC 2023
The noise level in linear regression with dependent data
NeurIPS 2023
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
ICML 2023
Adversarially Robust Stability Certificates can be Sample-Efficient
L4DC 2022
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions
L4DC 2022
Learning to Control Linear Systems can be Hard
COLT 2022
On the Sample Complexity of Stability Constrained Imitation Learning
L4DC 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
COLT 2022
TaSIL: Taylor Series Imitation Learning
NeurIPS 2022
Data-Driven System Level Synthesis
L4DC 2021
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
L4DC 2021
Learning Hybrid Control Barrier Functions from Data
CoRL 2020
Learning Stability Certificates from Data
CoRL 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
ICLR 2020
Robust Guarantees for Perception-Based Control
L4DC 2020
Sample Complexity of Kalman Filtering for Unknown Systems
L4DC 2020
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
NeurIPS 2018