Bin Gu

Mach. Learn., May, 2024

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Kernel Path for Semisupervised Support Vector Machine.

[BibT_eX]

[DOI]

Zhou Zhai

IEEE Trans. Neural Networks Learn. Syst., February, 2024

On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Perturbation diversity certificates robust generalization.

[BibT_eX]

[DOI]

Neural Networks, 2024

On the Intrinsic Structures of Spiking Neural Networks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

Error Density-dependent Empirical Risk Minimization.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension.

[BibT_eX]

[DOI]

CoRR, 2024

Continuous Spiking Graph Neural Networks.

[BibT_eX]

[DOI]

Nan Yin

Mengzhu Wang

Li Shen

Hitesh Laxmichand Patel

Baopu Li

Huan Xiong

CoRR, 2024

FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion.

[BibT_eX]

[DOI]

CoRR, 2024

Federated Causal Discovery from Heterogeneous Data.

[BibT_eX]

[DOI]

CoRR, 2024

Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Asynchronous Vertical Federated Learning for Kernelized AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Double Momentum Method for Lower-Level Constrained Bilevel Optimization.

[BibT_eX]

[DOI]

Yi Chang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

General Stability Analysis for Zeroth-Order Optimization Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Causal Discovery from Heterogeneous Data.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s).

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data.

[BibT_eX]

[DOI]

Yanmeng Yao

Xiaohan Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Fast and Adversarial Robust Kernelized SDU Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Data Driven Threshold and Potential Initialization for Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Dynamic Spiking Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Training of Spiking Neural Network with Stochastic Latency.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging.

[BibT_eX]

[DOI]

Hilal AlQuabeh

William de Vazelhes

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Kernel Error Path Algorithm.

[BibT_eX]

[DOI]

Ziran Xiong

Charles X. Ling

IEEE Trans. Neural Networks Learn. Syst., November, 2023

A new large-scale learning algorithm for generalized additive models.

[BibT_eX]

[DOI]

Mach. Learn., September, 2023

Kernel Path for ν-Support Vector Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2023

Incremental learning for transductive support vector machine.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Rethinking the Instruction Quality: LIFT is What You Need.

[BibT_eX]

[DOI]

CoRR, 2023

Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Advancing Counterfactual Inference through Quantile Regression.

[BibT_eX]

[DOI]

CoRR, 2023

Energy Efficient Training of SNN using Local Zeroth Order Method.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Direct Training of SNN using Local Zeroth Order Method.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doubly Robust AUC Optimization against Noisy and Adversarial Samples.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-Adaptive Perturbation Radii for Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Faster Gradient-Free Methods for Escaping Saddle Points.

[BibT_eX]

[DOI]

Hualin Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SUT: Active Defects Probing for Transcompiler Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Program Translation via Code Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network.

[BibT_eX]

[DOI]

Hongchang Gao

My T. Thai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory.

[BibT_eX]

[DOI]

Hilal AlQuabeh

Bhaskar Mukhoty

Proceedings of the Asian Conference on Machine Learning, 2023

Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning.

[BibT_eX]

[DOI]

Chenkang Zhang

Lei Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space.

[BibT_eX]

[DOI]

Diyang Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

On the Stability and Generalization of Triplet Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Scaling Up Generalized Kernel Methods.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Incremental learning algorithm for large-scale semi-supervised ordinal regression.

[BibT_eX]

[DOI]

Neural Networks, 2022

Stochastic Bilevel Distributed Optimization over a Network.

[BibT_eX]

[DOI]

Hongchang Gao

My T. Thai

CoRR, 2022

Learning to Control under Time-Varying Environment.

[BibT_eX]

[DOI]

CoRR, 2022

Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients.

[BibT_eX]

[DOI]

Hualin Zhang

Huan Xiong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GAGA: Deciphering Age-path of Generalized Self-paced Regularizer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks.

[BibT_eX]

[DOI]

Ziran Xiong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Gradient-Free Method for Heavily Constrained Nonconvex Optimization.

[BibT_eX]

[DOI]

Hongchang Gao

Proceedings of the International Conference on Machine Learning, 2022

The power of first-order smooth optimization for black-box non-smooth problems.

[BibT_eX]

[DOI]

Alexander V. Gasnikov

Pavel E. Dvurechensky

Proceedings of the International Conference on Machine Learning, 2022

Efficient Semi-Supervised Adversarial Training without Guessing Labels.

[BibT_eX]

[DOI]

Huimin Wu

William de Vazelhes

Proceedings of the IEEE International Conference on Data Mining, 2022

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification.

[BibT_eX]

[DOI]

Runxue Bao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Fairer Classifier via True Fairness Score Path.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Chunk Dynamic Updating for Group Lasso with ODEs.

[BibT_eX]

[DOI]

Diyang Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse.

[BibT_eX]

[DOI]

Junyi Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Balanced Self-Paced Learning for AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Accelerating Sequential Minimal Optimization via Stochastic Subgradient Descent.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

A kernel path algorithm for general parametric quadratic programming problem.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Generalized error path algorithm.

[BibT_eX]

[DOI]

Charles X. Ling

Pattern Recognit., 2021

Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization.

[BibT_eX]

[DOI]

Xiyuan Wei

CoRR, 2021

Learning Sampling Policy for Faster Derivative Free Optimization.

[BibT_eX]

[DOI]

Zhou Zhai

CoRR, 2021

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.

[BibT_eX]

[DOI]

CoRR, 2021

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Finding Age Path of Self-Paced Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients.

[BibT_eX]

[DOI]

Huimin Wu

Zhengmian Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Large-Scale Kernel Method for Vertical Federated Learning.

[BibT_eX]

[DOI]

Zhiyuan Dang

Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Unified q-Memorization Framework for Asynchronous Stochastic Optimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee.

[BibT_eX]

[DOI]

Junyi Li

CoRR, 2020

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Faster On-Device Training Using New Federated Momentum Algorithm.

[BibT_eX]

[DOI]

CoRR, 2020

Large Batch Training Does Not Need Warmup.

[BibT_eX]

[DOI]

CoRR, 2020

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Fast OSCAR and OWL Regression via Safe Screening Rules.

[BibT_eX]

[DOI]

Runxue Bao

Proceedings of the 37th International Conference on Machine Learning, 2020

Safe Sample Screening for Robust Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Majority Voting and Pairing with Multiple Noisy Labeling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm.

[BibT_eX]

[DOI]

Neural Networks, 2019

Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization.

[BibT_eX]

[DOI]

Wenhan Xian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee.

[BibT_eX]

[DOI]

Runxue Bao

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Solution Path Algorithm for General Parametric Quadratic Programming Problem.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Chunk incremental learning for cost-sensitive hinge loss support vector machine.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

A regularization path algorithm for support vector ordinal regression.

[BibT_eX]

[DOI]

Neural Networks, 2018

Sparse regression with output correlation for cardiac ejection fraction estimation.

[BibT_eX]

[DOI]

Inf. Sci., 2018

The convergence of linear classifiers on large sparse data.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Training Neural Networks Using Features Replay.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Faster Training Algorithms for Structured Sparsity-Inducing Norm.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Decoupled Parallel Backpropagation with Convergence Guarantee.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Doubly Stochastic Group Regularized Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Asynchronous Doubly Stochastic Sparse Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Structural Minimax Probability Machine.

[BibT_eX]

[DOI]

Xingming Sun

IEEE Trans. Neural Networks Learn. Syst., 2017

A Robust Regularization Path Algorithm for ν-Support Vector Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization.

[BibT_eX]

[DOI]

CoRR, 2017

Triply Stochastic Gradients on Multiple Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping.

[BibT_eX]

[DOI]

Guodong Liu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction.

[BibT_eX]

[DOI]

CoRR, 2016

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization.

[BibT_eX]

[DOI]

CoRR, 2016

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction.

[BibT_eX]

[DOI]

CoRR, 2016

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Incremental Support Vector Learning for Ordinal Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Incremental learning for ν-Support Vector Regression.

[BibT_eX]

[DOI]

Neural Networks, 2015

Data Sparseness in Linear SVM.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Bi-Parameter Space Partition for Cost-Sensitive SVM.

[BibT_eX]

[DOI]

Shuo Li

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A New Generalized Error Path Algorithm for Model Selection.

[BibT_eX]

[DOI]

Charles X. Ling

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2014

Cost-sensitive learning for defect escalation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

2013

Feasibility and Finite Convergence Analysis for Accurate On-Line $\nu$-Support Vector Machine.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

Regularization Path for ν-Support Vector Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Accurate on-line v-support vector learning.

[BibT_eX]

[DOI]

Neural Networks, 2012

2010

Semi-supervised Distributed Clustering with Mahalanobis Distance Metric Learning.

[BibT_eX]

[DOI]

J. Digit. Content Technol. its Appl., 2010

Ordinal-Class Core Vector Machine.

[BibT_eX]

[DOI]

Jiandong Wang

Tao Li

J. Comput. Sci. Technol., 2010

2008

On-line off-line Ranking Support Vector Machine and analysis.

[BibT_eX]

[DOI]