Nonparametric adaptive control and prediction: theory and randomized
algorithms

Nonparametric adaptive control and prediction: theory and randomized algorithms

7 June 2021

Nicholas M. Boffi

Stephen Tu

Jean-Jacques E. Slotine

Papers citing "Nonparametric adaptive control and prediction: theory and randomized algorithms"

18 / 18 papers shown

Title
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret Hongyu Zhou Vasileios Tzoumas 116 4 0 04 Jul 2024
Regret Bounds for Adaptive Nonlinear Control Nicholas M. Boffi Stephen Tu Jean-Jacques E. Slotine 60 47 0 26 Nov 2020
Learning Stability Certificates from Data Nicholas M. Boffi Stephen Tu Nikolai Matni Jean-Jacques E. Slotine Vikas Sindhwani 15 94 0 13 Aug 2020
When Do Neural Networks Outperform Kernel Methods? Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari 74 188 0 24 Jun 2020
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction Nicholas M. Boffi Jean-Jacques E. Slotine 23 41 0 31 Dec 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 178 223 0 29 Sep 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 44 74 0 29 Jul 2019
Linearized two-layers neural networks in high dimension Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari MLT 31 243 0 27 Apr 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 135 915 0 26 Apr 2019
Exponentiated Gradient Meets Gradient Descent Udaya Ghai Elad Hazan Y. Singer 28 45 0 05 Feb 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 153 3,160 0 20 Jun 2018
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 78 119 0 02 May 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks Song Mei Andrea Montanari Phan-Minh Nguyen MLT 63 855 0 18 Apr 2018
Learning Contracting Vector Fields For Stable Imitation Learning Vikas Sindhwani Stephen Tu Mohi Khansari 35 40 0 13 Apr 2018
Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning H. Q. Minh 51 18 0 19 Aug 2016
Random Fourier Features for Operator-Valued Kernels Romain Brault Florence dÁlché-Buc Markus Heinonen 18 45 0 09 May 2016
A vector-contraction inequality for Rademacher complexities Andreas Maurer 40 258 0 01 May 2016
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 85 701 0 30 Dec 2014