Research Output 1969 2020

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Conference contribution
2018

Graphical nonconvex optimization via an adaptive convex relaxation

Sun, Q., Tan, K. M., Liu, H. & Zhang, T., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), Vol. 11. p. 7638-7645 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

Anomaly detection for categorical observations using latent gaussian process

Lv, F., Yang, G., Wu, J., Liu, C. & Yang, Y., Jan 1 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Zhao, D., Li, Y., El-Alfy, E-S. M., Liu, D. & Xie, S. (eds.). Springer- Verlag, p. 285-296 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10638 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Latent Process
Anomaly Detection
Gaussian Process
Categorical
Network security
3 Citations (Scopus)

Tripoles: A new class of relationships in time series data

Agrawal, S., Atluri, G., Karpatne, A., Haltom, W., Liess, S., Chatterjee, S. B. & Kumar, V., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 697-706 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
2016
3 Citations (Scopus)

Absolute fused lasso and its application to genome-wide association studies

Yang, T., Liu, J., Gong, P., Zhang, R., Shen, X. T. & Ye, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1955-1964 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Genes
Mathematical operators

A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise

Chen, X. C., Yao, Y., Shi, S., Chatterjee, S., Kumar, V. & Faghmous, J. H., Jan 1 2016, 16th SIAM International Conference on Data Mining 2016, SDM 2016. Venkatasubramanian, S. C. & Meira, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 162-170 9 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Finance
Marketing
Remote sensing
Health
5 Citations (Scopus)

Data-driven learning of the number of states in multi-state autoregressive models

Ding, J., Noshad, M. & Tarokh, V., Apr 4 2016, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015. Institute of Electrical and Electronics Engineers Inc., p. 418-425 8 p. 7447034. (2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Statistics
4 Citations (Scopus)

Laplace approximation in high-dimensional Bayesian regression

Barber, R. F., Drton, M. & Tan, K. M., Jan 1 2016, Statistical Analysis for High-Dimensional Data - The Abel Symposium, 2014. Buhlmann, P., Glad, I. K., Langaas, M., Richardson, S., Frigessi, A. & Vannucci, M. (eds.). Springer Heidelberg, p. 15-36 22 p. (Abel Symposia; vol. 11).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Laplace Approximation
High-dimensional
Regression
Marginal Likelihood
Covariates
2 Citations (Scopus)

Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics

Ding, J., Noshad, M. & Tarokh, V., Jan 29 2016, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Wu, X., Tuzhilin, A., Xiong, H., Dy, J. G., Aggarwal, C., Zhou, Z-H. & Cui, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1441-1446 6 p. 7395839. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Statistics
1 Citation (Scopus)

Optimal sequential test with finite horizon and constrained sensor selection

Li, S., Li, X., Wang, X. & Liu, J., Aug 10 2016, Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers Inc., p. 1546-1550 5 p. 7541558. (IEEE International Symposium on Information Theory - Proceedings; vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sequential Test
Optimal Test
Finite Horizon
Sensor
Sensors
2 Citations (Scopus)

Order Selection of Autoregressive Processes Using Bridge Criterion

Ding, J., Noshad, M. & Tarokh, V., Jan 29 2016, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Wu, X., Tuzhilin, A., Xiong, H., Dy, J. G., Aggarwal, C., Zhou, Z-H. & Cui, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 615-622 8 p. 7395724. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
2015

Fast and robust supervised learning in high dimensions using the geometry of the data

Mukherjee, U. K., Majumdar, S. & Chatterjee, S. B., Jan 1 2015, Advances in Data Mining: Applications and Theoretical Aspects - 15th Industrial Conference, ICDM 2015, Proceedings. Perner, P. (ed.). Springer- Verlag, p. 109-123 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9165).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Supervised Learning
Higher Dimensions
Wrapper
Geometry
2 Citations (Scopus)

Multi-sensor generalized sequential probability ratio test using level-triggered sampling

Li, S., Li, X., Wang, X. & Liu, J., 2015, 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., p. 363-367 5 p. 7418218

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sampling
Sensors
Fusion reactions
Communication
1 Citation (Scopus)

Uniformly efficient simulation for tail probabilities of Gaussian random fields

Xu, G., Jan 23 2015, Proceedings of the 2014 Winter Simulation Conference, WSC 2014. Tolk, A., Yilmaz, L., Diallo, S. Y. & Ryzhov, I. O. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 533-542 10 p. 7019918. (Proceedings - Winter Simulation Conference; vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Importance sampling
Gaussian Random Field
Tail Probability
Rare Event Simulation
Variance Function
2014
2 Citations (Scopus)

Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds

Mukherjee, U. K. & Chatterjee, S., Jan 1 2014, Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014. Chang, W., Huan, J., Cercone, N., Pyne, S., Honavar, V., Lin, J., Hu, X. T., Aggarwal, C., Mobasher, B., Pei, J. & Nambiar, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 64-71 8 p. 7004358. (Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Monitoring
Process monitoring
Health
Costs
Big data
2013

Contextual time serios change detection

Chen, X. C., Steinhaeuser, K., Boriah, S., Chatterjee, S. B. & Kumar, V., Jan 1 2013, SIAM International Conference on Data Mining 2013, SMD 2013. Society for Industrial and Applied Mathematics Publications, p. 503-511 9 p. (SIAM International Conference on Data Mining 2013, SMD 2013).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time Change
Change Detection
Time series
Time Series Modelling
Time Series Analysis
2012
71 Citations (Scopus)

Feature grouping and selection over an undirected graph

Yang, S., Yuan, L., Lai, Y. C., Shen, X., Wonka, P. & Ye, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 922-930 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feature extraction
15 Citations (Scopus)

Optimal exact least squares rank minimization

Xiang, S., Zhu, Y., Shen, X. T. & Ye, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 480-488 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image reconstruction
Parameter estimation
Error analysis
Multivariate Analysis
1 Citation (Scopus)

Randomized allocation with dimension reduction in a bandit problem with covariates

Qian, W. & Yang, Y., Dec 1 2012, Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012. p. 1537-1541 5 p. 6234368. (Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bandit Problems
Dimension Reduction
Covariates
Reduction Method
Reward
2 Citations (Scopus)

Rare-event simulations for exponential integrals of smooth Gaussian processes

Liu, J. & Xu, G., Dec 1 2012, Proceedings of the 2012 Winter Simulation Conference, WSC 2012. 6465201. (Proceedings - Winter Simulation Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rare Event Simulation
Exponential Integral
Gaussian Process
Importance sampling
Tail Probability
36 Citations (Scopus)

Sparse group lasso: Consistency and climate applications

Chatterjee, S., Steinhaeuser, K., Banerjee, A., Chatterjee, S. B. & Ganguly, A., Dec 1 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. p. 47-58 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Testing the significance of spatio-temporal teleconnection patterns

Kawale, J., Chatterjee, S. B., Ormsby, D., Steinhaeuser, K., Liess, S. & Kumar, V., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 642-650 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Autocorrelation
Testing
Data mining
Time series
Temperature
2011
7 Citations (Scopus)

Probabilistic matrix addition

Agovic, A., Banerjee, A. & Chatterjee, S. B., Oct 7 2011, Proceedings of the 28th International Conference on Machine Learning, ICML 2011. p. 1025-1032 8 p. (Proceedings of the 28th International Conference on Machine Learning, ICML 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Values
Labels
Sampling
7 Citations (Scopus)

Sparse Group Lasso for regression on land climate variables

Chatterjee, S., Banerjee, A., Chatterjee, S. B. & Ganguly, A. R., Dec 1 2011, Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011. p. 1-8 8 p. 6137353. (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2007
8 Citations (Scopus)

Proper statistical modeling and validation in QSAR: A case study in the prediction of rat fat-air partitioning

Basak, S. C., Mills, D., Hawkins, D. M. & Kraker, J. J., Dec 1 2007, Computation in Modern Science and Engineering - Proceedings of the International Conference on Computational Methods in Science and Engineering 2007 (ICCMSE 2007). 2 ed. p. 548-551 4 p. (AIP Conference Proceedings; vol. 963, no. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

fats
rats
regression analysis
air
predictions
2006
1 Citation (Scopus)

Multiple video object extraction using multi-category ψ-learning

Liu, Y., Zheng, Y. F. & Shen, X. T., Dec 1 2006, 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings. Vol. 5. 1661424

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Support vector machines
Learning systems
Experiments
2 Citations (Scopus)

On L1-norm multi-class support vector machines

Wang, L., Shen, X. T. & Zheng, Y. F., Dec 1 2006, Proceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006. p. 83-88 6 p. 4041474

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
Feature extraction
2003
100 Citations (Scopus)

A statistically rigorous approach for improving simulation methodology

Yi, J. J., Lilja, D. J. & Hawkins, D. M., Jan 1 2003, Proceedings - 9th International Symposium on High-Performance Computer Architecture, HPCA 2003. IEEE Computer Society, p. 281-291 11 p. 1183546. (Proceedings - International Symposium on High-Performance Computer Architecture; vol. 12).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Simulators
Computer architecture
Statistical methods
Acoustic waves
Costs
1994
9 Citations (Scopus)

Asymptotically optimal function estimation by minimum complexity criteria

Barron, A., Yang, Y. & Yu, B., Dec 1 1994, IEEE International Symposium on Information Theory - Proceedings. IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optimal Estimation
Function Estimation
Asymptotically Optimal
Redundancy
Likelihood
1985

EVALUATION OF STATISTICAL CLASSIFICATION PROCEDURES IN REMOTE SENSING.

Elphinstone, C. D., Lonergan, A. T., Fatti, L. P. & Hawkins, D. M., Dec 1 1985, Unknown Host Publication Title. Univ of Natal, p. 5-12 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Remote sensing