Learning Mixtures of Linear Dynamical Systems

26 January 2022

Papers citing "Learning Mixtures of Linear Dynamical Systems"

50 / 52 papers shown

Title
Joint Problems in Learning Multiple Dynamical Systems Mengjia Niu Xiaoyu He Petr Rysavý Quan-Gen Zhou Georgios Korpas 42 3 0 03 Nov 2023
Online Control of Unknown Time-Varying Dynamical Systems Edgar Minasyan Paula Gradu Max Simchowitz Elad Hazan OffRL 30 31 0 16 Feb 2022
Joint Learning of Linear Time-Invariant Dynamical Systems Aditya Modi Mohamad Kazem Shirani Faradonbeh Ambuj Tewari George Michailidis 41 17 0 21 Dec 2021
Kalman Filtering with Adversarial Corruptions Sitan Chen Frederic Koehler Ankur Moitra Morris Yau AAML 32 10 0 11 Nov 2021
Coresets for Time Series Clustering Lingxiao Huang K. Sudhir Nisheeth K. Vishnoi AI4TS 27 19 0 28 Oct 2021
Cluster-and-Conquer: A Framework For Time-Series Forecasting Reese Pathak Rajat Sen Nikhil S. Rao N. Benjamin Erichson Michael I. Jordan Inderjit S. Dhillon AI4TS 41 2 0 26 Oct 2021
Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari Konstantinos Benidis Richard Kurle Ali Caner Turkmen Harold Soh Alex Smola Yuyang Wang Tim Januschowski BDL 48 19 0 26 Oct 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 59 66 0 06 Jul 2021
A Wasserstein Minimax Framework for Mixed Linear Regression Theo Diamandis Yonina C. Eldar Alireza Fallah Farzan Farnia Asuman Ozdaglar 30 6 0 14 Jun 2021
Stable Online Control of Linear Time-Varying Systems Guannan Qu Yuanyuan Shi Sahin Lale Anima Anandkumar Adam Wierman 16 8 0 29 Apr 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 39 182 0 11 Feb 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound Jeongyeol Kwon Yonathan Efroni Constantine Caramanis Shie Mannor 29 78 0 09 Feb 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 68 167 0 15 Dec 2020
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models Ilias Diakonikolas D. Kane 41 32 0 14 Dec 2020
Learning the Linear Quadratic Regulator from Nonlinear Observations Zakaria Mhammedi Dylan J. Foster Max Simchowitz Dipendra Kumar Misra Wen Sun A. Krishnamurthy Alexander Rakhlin John Langford 66 28 0 08 Oct 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues Leila Sedghi Zohaib Ijaz Md. Noor-A.-Rahim K. Witheephanich Dirk Pesch AI4CE 41 16 0 27 Sep 2020
Learning Mixtures of Low-Rank Models Yanxi Chen Cong Ma H. Vincent Poor Yuxin Chen 28 13 0 23 Sep 2020
Sequential Transfer in Reinforcement Learning with a Generative Model Andrea Tirinzoni Riccardo Poiani Marcello Restelli 24 24 0 01 Jul 2020
Recovery of Sparse Signals from a Mixture of Linear Samples A. Mazumdar S. Pal FedML 24 12 0 29 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 38 117 0 22 Jun 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 55 216 0 20 Jun 2020
Active Learning for Nonlinear System Identification with Guarantees Horia Mania Michael I. Jordan Benjamin Recht 54 101 0 18 Jun 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches Weihao Kong Raghav Somani Sham Kakade Sewoong Oh OOD 25 35 0 17 Jun 2020
Latent Bandits Revisited Joey Hong Branislav Kveton Manzil Zaheer Yinlam Chow Amr Ahmed Craig Boutilier OffRL 18 47 0 15 Jun 2020
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression Jeongyeol Kwon Nhat Ho Constantine Caramanis 14 39 0 04 Jun 2020
Learning nonlinear dynamical systems from a single trajectory Dylan J. Foster Alexander Rakhlin Tuhin Sarkar 17 72 0 30 Apr 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems Sahin Lale Kamyar Azizzadenesheli B. Hassibi Anima Anandkumar 54 95 0 25 Mar 2020
Few-Shot Learning via Learning the Representation, Provably S. Du Wei Hu Sham Kakade Jason D. Lee Qi Lei SSL 21 258 0 21 Feb 2020
Meta-learning for mixed linear regression Weihao Kong Raghav Somani Zhao Song Sham Kakade Sewoong Oh 42 65 0 20 Feb 2020
Naive Exploration is Optimal for Online LQR Max Simchowitz Dylan J. Foster 32 182 0 27 Jan 2020
Sample Complexity of Kalman Filtering for Unknown Systems Anastasios Tsiamis Nikolai Matni George J. Pappas 52 53 0 27 Dec 2019
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 52 79 0 18 Dec 2019
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments Sitan Chen Jingkai Li Zhao Song 31 39 0 16 Dec 2019
Mean estimation and regression under heavy-tailed distributions--a survey Gabor Lugosi S. Mendelson 64 240 0 10 Jun 2019
Sample Complexity Lower Bounds for Linear System Identification Yassir Jedra Alexandre Proutiere 20 41 0 25 Mar 2019
Learning Linear Dynamical Systems with Semi-Parametric Least Squares Max Simchowitz Ross Boczar Benjamin Recht 6 114 0 02 Feb 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik A. Pananjady Kush S. Bhatia K. Khamaru Peter L. Bartlett Martin J. Wainwright 25 198 0 20 Dec 2018
Mobile Sensor Data Anonymization Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 14 198 0 26 Oct 2018
Online Linear Quadratic Control Alon Cohen Avinatan Hassidim Tomer Koren N. Lazić Yishay Mansour Kunal Talwar 27 149 0 19 Jun 2018
Non-asymptotic Identification of LTI Systems from a Single Trajectory Samet Oymak N. Ozay 32 221 0 14 Jun 2018
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification Max Simchowitz Horia Mania Stephen Tu Michael I. Jordan Benjamin Recht 16 337 0 22 Feb 2018
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity Yuanzhi Li Yingyu Liang 30 74 0 22 Feb 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 40 597 0 15 Jan 2018
Finite Time Identification in Unstable Linear Systems Mohamad Kazem Shirani Faradonbeh Ambuj Tewari George Michailidis 26 145 0 05 Oct 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 49 572 0 04 Oct 2017
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data David Hallac Sagar Vare Stephen P. Boyd J. Leskovec AI4TS 19 274 0 10 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 126 8,044 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 706 11,782 0 09 Mar 2017
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 47 375 0 23 May 2015
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 34 243 0 08 Feb 2015