Han Liu
Orcid: 0000-0002-2470-1755Affiliations:
- Northwestern University, Evanston, IL, USA
- Princeton University, Department of Operations Research and Financial Engineering, NJ, USA
- Johns Hopkins University, Department of Biostatistics and Computer Science, Baltimore, MD, USA
- Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2011)
- University of Toronto, Department of Computer Science, ON, Canada (former)
According to our database1,
Han Liu
authored at least 117 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
EMS®: A Massive Computational Experiment Management System towards Data-driven Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning.
CoRR, 2022
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
IEEE Trans. Inf. Theory, 2021
Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents.
IEEE Trans. Autom. Control., 2021
RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced Robots.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization.
IEEE Trans. Inf. Theory, 2019
Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach.
Math. Program., 2019
Efficient, certifiably optimal clustering with applications to latent variable graphical models.
Math. Program., 2019
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models.
J. Mach. Learn. Res., 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.
J. Mach. Learn. Res., 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Math. Program., 2018
CoRR, 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence.
CoRR, 2018
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
J. Mach. Learn. Res., 2017
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
J. Mach. Learn. Res., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods.
Math. Program. Comput., 2016
CoRR, 2016
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Generalized alternating direction method of multipliers: new theoretical insights and applications.
Math. Program. Comput., 2015
Calibrated multivariate regression with application to neural semantic basis discovery.
J. Mach. Learn. Res., 2015
The flare package for high dimensional linear regression and precision matrix estimation in R.
J. Mach. Learn. Res., 2015
J. Mach. Learn. Res., 2015
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Calibrated Precision Matrix Estimation for High-Dimensional Elliptical Distributions.
IEEE Trans. Inf. Theory, 2014
SIAM J. Optim., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
The fastclime package for linear programming and large-scale precision matrix estimation in R.
J. Mach. Learn. Res., 2014
CoRR, 2014
CoRR, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification.
CoRR, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
J. Mach. Learn. Res., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Exponential Concentration for Mutual Information Estimation with Application to Forests.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
J. Mach. Learn. Res., 2009
Proceedings of the Database Technologies: Concepts, 2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
J. Database Manag., 2006
2005
Proceedings of the Classification and Clustering for Knowledge Discovery, 2005
Proceedings of the 14th international conference on World Wide Web, 2005
Proceedings of the 14th international conference on World Wide Web, 2005
2004
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004
An Effective and Efficient Data Cleaning Technique in Large Databases.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004
Generalized Semi-Infinite Optimization and its Application in Robotics' Path Planning Problem.
Proceedings of the International Conference on Artificial Intelligence, 2004
Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.
Proceedings of the International Conference on Artificial Intelligence, 2004
A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data.
Proceedings of the International Conference on Artificial Intelligence, 2004
An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk.
Proceedings of the Machine Learning: ECML 2004, 2004
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004
PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004