Peilin Zhao

Yatao Bian

Proceedings of the International Conference on Machine Learning, 2022

SVIP: Sequence VerIfication for Procedures in Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

GNN-Retro: Retrosynthetic Planning with Graph Neural Networks.

[BibT_eX]

[DOI]

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

2021

Online Adaptive Asymmetric Active Learning With Limited Budgets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Disturbance-immune weight sharing for neural architecture search.

[BibT_eX]

[DOI]

Neural Networks, 2021

Neural graph personalized ranking for Top-N Recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Molecular graph enhanced transformer for retrosynthesis prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Deep learning for human activity recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Online learning: A comprehensive survey.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Decentralized Online Learning With Compressed Communication for Near-Sensor Data Analytics.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2021

RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Value Penalized Q-Learning for Recommender Systems.

[BibT_eX]

[DOI]

Chengqian Gao

Ke Xu

CoRR, 2021

Local Augmentation for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Graphon Autoencoders for Generative Graph Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.

[BibT_eX]

[DOI]

Chaoyang He

Keshav Balasubramanian

CoRR, 2021

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets.

[BibT_eX]

[DOI]

CoRR, 2021

Context-Aware Domain Adaptation in Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Meta-learning with an Adaptive Task Scheduler.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Meta-learning Hyperparameter Performance Prediction with Neural Processes.

[BibT_eX]

[DOI]

Ying Wei

Junzhou Huang

Proceedings of the 38th International Conference on Machine Learning, 2021

AdaXpert: Adapting Neural Architecture for Growing Data.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Hierarchical Graph Capsule Network.

[BibT_eX]

[DOI]

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

PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning.

[BibT_eX]

[DOI]

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

2020

A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

A Unified Framework for Sparse Online Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Collaborative online ranking algorithms for multitask learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Nonparametric Topic Modeling with Neural Inference.

[BibT_eX]

[DOI]

Neurocomputing, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?

[BibT_eX]

[DOI]

CoRR, 2020

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Wasserstein Distribution Matching.

[BibT_eX]

[DOI]

CoRR, 2020

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Sparse Transformer for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Relation-Aware Transformer for Portfolio Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Contextualized Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search.

[BibT_eX]

[DOI]

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

Towards Fast Adaptation of Neural Architectures with Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Aggregated Gradient Langevin Dynamics.

[BibT_eX]

[DOI]

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

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks.

[BibT_eX]

[DOI]

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

2019

Adaptive Cost-Sensitive Online Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Detecting cyberattacks in industrial control systems using online learning algorithms.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Transferable Neural Processes for Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Factorization Machine: A Doubly Capped Norms Minimization.

[BibT_eX]

[DOI]

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

Hyperparameter Learning via Distributional Transfer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NAT: Neural Architecture Transformer for Accurate and Compact Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization.

[BibT_eX]

[DOI]

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

Decentralized Optimization with Edge Sampling.

[BibT_eX]

[DOI]

Chi Zhang

Qianxiao Li

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

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies.

[BibT_eX]

[DOI]

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

AUC-MF: Point of Interest Recommendation with AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Graph Convolutional Networks for Temporal Action Localization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Complexities in Projection-Free Stochastic Non-convex Minimization.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Confidence Weighted Multitask Learning.

[BibT_eX]

[DOI]

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

2018

Twitter Microblog Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Second-Order Online Active Learning and Its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Online Active Learning with Expert Advice.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Distributed multi-task classification: a decentralized online learning approach.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Hyperparameter Learning via Distributional Transfer.

[BibT_eX]

[DOI]

CoRR, 2018

Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss.

[BibT_eX]

[DOI]

CoRR, 2018

A Boosting Framework of Factorization Machine.

[BibT_eX]

[DOI]

CoRR, 2018

Online Compact Convexified Factorization Machine.

[BibT_eX]

[DOI]

Wenpeng Zhang

Xiao Lin

CoRR, 2018

Online Compact Convexified Factorization Machine.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Robust Asymmetric Recommendation via Min-Max Optimization.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Local Online Learning Approach for Non-linear Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.

[BibT_eX]

[DOI]

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

Distributed Collaborative Hashing and Its Applications in Ant Financial.

[BibT_eX]

[DOI]

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

High-dimensional Similarity Learning via Dual-sparse Random Projection.

[BibT_eX]

[DOI]

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

Bandit Online Learning on Graphs via Adaptive Optimization.

[BibT_eX]

[DOI]

Peng Yang

Xin Gao

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

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication.

[BibT_eX]

[DOI]

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

Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points.

[BibT_eX]

[DOI]

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

Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.

[BibT_eX]

[DOI]

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

2017

Robust Online Multi-Task Learning with Correlative and Personalized Structures.

[BibT_eX]

[DOI]

Peng Yang

Xin Gao

IEEE Trans. Knowl. Data Eng., 2017

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Collaborative topic regression for online recommender systems: an online and Bayesian approach.

[BibT_eX]

[DOI]

Mach. Learn., 2017

PSMART: Parameter Server based Multiple Additive Regression Trees System.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.

[BibT_eX]

[DOI]

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

Locally Linear Factorization Machines.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning User Dependencies for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Multitask Relative Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Projection-free Distributed Online Learning in Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Large Scale Kernel Methods for Online AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Online Multi-Modal Distance Metric Learning with Application to Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Soft Confidence-Weighted Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2016

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2016

Online Passive-Aggressive Active learning.

[BibT_eX]

[DOI]

Jing Lu

Mach. Learn., 2016

Large Scale Online Kernel Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Learning Optimal Social Dependency for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2016

Online Bayesian Collaborative Topic Regression.

[BibT_eX]

[DOI]

CoRR, 2016

Adaptive Subgradient Methods for Online AUC Maximization.

[BibT_eX]

[DOI]

CoRR, 2016

Efficient Multi-Class Selective Sampling on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Learning Correlative and Personalized Structure for Online Multi-Task Classification.

[BibT_eX]

[DOI]

Sujatha Das Gollapalli

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Temporal Kernel Descriptors for Learning with Time-sensitive Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Online Sparse Passive Aggressive Learning with Kernels.

[BibT_eX]

[DOI]

Jing Lu

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Repeat Buyer Prediction for E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

ROM: A Robust Online Multi-task Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SOAL: Second-Order Online Active Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life.

[BibT_eX]

[DOI]

Giduthuri Sateesh Babu

Xiaoli Li

Proceedings of the Database Systems for Advanced Applications, 2016

Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Cost Sensitive Online Multiple Kernel Classification.

[BibT_eX]

[DOI]

Doyen Sahoo

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Online ARIMA Algorithms for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Framework of Sparse Online Learning and Its Applications.

[BibT_eX]

[DOI]

CoRR, 2015

Budget Online Multiple Kernel Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Active Crowdsourcing for Annotation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Online Learning to Rank for Content-Based Image Retrieval.

[BibT_eX]

[DOI]

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

A Boosting Algorithm for Item Recommendation with Implicit Feedback.

[BibT_eX]

[DOI]

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

Stochastic Optimization with Importance Sampling for Regularized Loss Minimization.

[BibT_eX]

[DOI]

Tong Zhang

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

Adaptive Stochastic Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

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

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Sparse Online Relative Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Aggressive Graph-Based Selective Sampling Algorithm for Classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Min-Max Optimization Framework For Online Graph Classification.

[BibT_eX]

[DOI]

Peng Yang

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Relative Similarity from Data Streams: Active Online Learning Approaches.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

An Adaptive Gradient Method for Online AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Online Feature Selection and Its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Cost-Sensitive Online Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Online Multiple Kernel Similarity Learning for Visual Search.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

LIBOL: a library for online learning algorithms.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling.

[BibT_eX]

[DOI]

Tong Zhang

CoRR, 2014

Stochastic Optimization with Importance Sampling.

[BibT_eX]

[DOI]

Tong Zhang

CoRR, 2014

Online Transfer Learning.

[BibT_eX]

[DOI]

Artif. Intell., 2014

High-Dimensional Data Stream Classification via Sparse Online Learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Online Passive Aggressive Active Learning and Its Applications.

[BibT_eX]

[DOI]

Jing Lu

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Learning Relative Similarity by Stochastic Dual Coordinate Ascent.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Kernel based online learning

[BibT_eX]

[DOI]

PhD thesis, 2013

Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection.

[BibT_eX]

[DOI]

Bin Li

Vivekanand Gopalkrishnan

ACM Trans. Knowl. Discov. Data, 2013

Online Multiple Kernel Classification.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient.

[BibT_eX]

[DOI]

CoRR, 2013

Active Learning with Expert Advice.

[BibT_eX]

[DOI]

Jinfeng Zhuang

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Online multi-task collaborative filtering for on-the-fly recommender systems.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Online multimodal deep similarity learning with application to image retrieval.

[BibT_eX]

[DOI]

Proceedings of the ACM Multimedia Conference, 2013

Cost-sensitive online active learning with application to malicious URL detection.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Large Scale Online Kernel Classification.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

2012

PAMR: Passive aggressive mean reversion strategy for portfolio selection.

[BibT_eX]

[DOI]

Bin Li

Vivekanand Gopalkrishnan

Mach. Learn., 2012

BDUOL: Double Updating Online Learning on a Fixed Budget.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Online feature selection for mining big data.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Big Data, 2012

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Exact Soft Confidence-Weighted Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Double Updating Online Learning.

[BibT_eX]

[DOI]

Rong Jin

J. Mach. Learn. Res., 2011

Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection.

[BibT_eX]

[DOI]

Bin Li

Vivekanand Gopalkrishnan

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Mining social images with distance metric learning for automated image tagging.

[BibT_eX]

[DOI]

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Online AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

OTL: A Framework of Online Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Local features are not lonely - Laplacian sparse coding for image classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

DUOL: A Double Updating Approach for Online Learning.

[BibT_eX]

[DOI]