Tuo Zhao

According to our database1, Tuo Zhao authored at least 66 papers between 2005 and 2019.

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Bibliography

2019
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization.
IEEE Trans. Information Theory, 2019

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.
Journal of Machine Learning Research, 2019

2018
On Computation and Generalization of GANs with Spectrum Control.
CoRR, 2018

Learning to Defense by Learning to Attack.
CoRR, 2018

Provable Gaussian Embedding with One Observation.
CoRR, 2018

On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond.
CoRR, 2018

On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization.
CoRR, 2018

Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization.
CoRR, 2018

Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models.
CoRR, 2018

Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization.
CoRR, 2018

Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations.
CoRR, 2018

Provable Gaussian Embedding with One Observation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Physical Systems Behind Optimization Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization.
Proceedings of the 2018 Information Theory and Applications Workshop, 2018

2017
An enhance excavation equipments classification algorithm based on acoustic spectrum dynamic feature.
Multidim. Syst. Sign. Process., 2017

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
Journal of Machine Learning Research, 2017

Excavation equipment classification based on improved MFCC features and ELM.
Neurocomputing, 2017

Misspecified Nonconvex Statistical Optimization for Phase Retrieval.
CoRR, 2017

Deep Hyperspherical Learning.
CoRR, 2017

Dynamic Factorization and Partition of Complex Networks.
CoRR, 2017

Homotopy Parametric Simplex Method for Sparse Learning.
CoRR, 2017

On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.
CoRR, 2017

Online Multiview Representation Learning: Dropping Convexity for Better Efficiency.
CoRR, 2017

Parametric Simplex Method for Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Hyperspherical Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

The Opensesame NIST 2016 Speaker Recognition Evaluation System.
Proceedings of the Interspeech 2017, 2017

Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability.
Proceedings of the 34th International Conference on Machine Learning, 2017

Hyperspectral and multispectral image fusion using local spatial-spectral dictionary pair.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
Ensemble Acoustic Modeling for CD-DNN-HMM Using Random Forests of Phonetic Decision Trees.
Signal Processing Systems, 2016

NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization.
CoRR, 2016

The Physical Systems Behind Optimization Algorithms.
CoRR, 2016

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
CoRR, 2016

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
CoRR, 2016

Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization.
CoRR, 2016

A First Order Free Lunch for SQRT-Lasso.
CoRR, 2016

NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Hyperspectral and multispectral image fusion using collaborative representation with local adaptive dictionary pair.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Subpixel mapping of hyperspectral images based on collaborative representation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
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

2015
Calibrated multivariate regression with application to neural semantic basis discovery.
Journal of Machine Learning Research, 2015

The flare package for high dimensional linear regression and precision matrix estimation in R.
Journal of Machine Learning Research, 2015

A Nonconvex Optimization Framework for Low Rank Matrix Estimation.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Time-frequency kernel-based CNN for speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

2014
Calibrated Precision Matrix Estimation for High-Dimensional Elliptical Distributions.
IEEE Trans. Information Theory, 2014

Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory.
CoRR, 2014

Accelerated Mini-batch Randomized Block Coordinate Descent Method.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Multivariate Regression with Calibration.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Building an ensemble of CD-DNN-HMM acoustic model using random forests of phonetic decision trees.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014

Multilevel sampling and aggregation for discriminative training.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014

2013
CODA: high dimensional copula discriminant analysis.
Journal of Machine Learning Research, 2013

Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery.
CoRR, 2013

Sparse Inverse Covariance Estimation with Calibration.
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

2012
The huge Package for High-dimensional Undirected Graph Estimation in R.
Journal of Machine Learning Research, 2012

Sparse Additive Machine.
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

2010
Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications.
Signal Processing, 2010

2009
Predicting RNA secondary structure based on the class information and Hopfield network.
Comp. in Bio. and Med., 2009

2008
Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation.
Pattern Recognition Letters, 2008

2007
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition.
Proceedings of the Advances in Biometrics, International Conference, 2007

2006
Feature selection for linear support vector machines.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Curve Mapping Based Illumination Adjustment for Face Detection.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006

2005
Re-lighting and Compensation for Face Images.
Proceedings of the Computer Analysis of Images and Patterns, 11th International Conference, 2005


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