Pursuing theoretical and algorithmic advances in decision making under uncertainty

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[ICML] Accelerated gradient methods for geodesically convex optimization

[ICML] Accelerated gradient methods for geodesically convex optimization

The paper "Accelerated gradient methods for geodesically convex optimization: Tractable algorithms and convergence analysis" has been accepted to the International Conference on Machine Learning (ICML). Accelerated gradient ...
[TAC] Maximum entropy optimal control in continuous time

[TAC] Maximum entropy optimal control in continuous time

The paper "Maximum entropy optimal control of continuous-time dynamical systems" has been accepted for publication in the IEEE Transactions on Automatic Control. Maximum entropy optimal control of ...
[M3AS] Nonconvex optimization on the Stiefel manifold

[M3AS] Nonconvex optimization on the Stiefel manifold

The paper "Stochastic consensus dynamics for nonconvex optimization on the Stiefel manifold: Mean-field limit and convergence" has been accepted for publication in Mathematical Models and Methods in ...
[TAC] Risk-sensitive safety analysis using CVaR

[TAC] Risk-sensitive safety analysis using CVaR

The paper "Risk-sensitive safety analysis using conditional value-at-risk" has been accepted for publication in the IEEE Transactions on Automatic Control. Risk-sensitive safety analysis using conditional value-at-risk by ...
[JMLR] Hamilton-Jacobi deep Q-learning

[JMLR] Hamilton-Jacobi deep Q-learning

The paper "Hamilton-Jacobi deep Q-learning for deterministic continuous-time systems with Lipschitz continuous controls" has been accepted for publication in the Journal of Machine Learning Research (JMLR). It ...
[T-RO] Distributionally robust motion control using CVaR

[T-RO] Distributionally robust motion control using CVaR

The paper "Wasserstein distributionally robust motion control for collision avoidance using conditional value-at-risk" has been accepted for publication in the IEEE Transactions on Robotics. It presents a ...

Research Areas

Stochastic Control and Reinforcement Learning

Optimization for Machine Learning

Safe Autonomy and Risk Management