Sunil Gupta

发表

Explaining Black-Box Models Using Interpretable Surrogates

Santu Rana, Svetha Venkatesh, Cheng Li, 2019, PRICAI.

A flexible transfer learning framework for Bayesian optimization with convergence guarantee

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2019, Expert Syst. Appl..

A new transfer learning framework with application to model-agnostic multi-task learning

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2016, Knowledge and Information Systems.

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes

Svetha Venkatesh, Dinh Q. Phung, Nguyen Cong Thuong, 2013, 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Hyperparameter tuning for big data using Bayesian optimisation

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Exploiting Strategy-Space Diversity for Batch Bayesian Optimization

Svetha Venkatesh, Alistair Shilton, Santu Rana, 2018, AISTATS.

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, SDM 2011.

High Dimensional Bayesian Optimization using Dropout

Cheng Li, Svetha Venkatesh, Alistair Shilton, 2018, IJCAI.

Regret Bounds for Transfer Learning in Bayesian Optimisation

Svetha Venkatesh, Alistair Shilton, Santu Rana, 2017, AISTATS.

Filtering Bayesian optimization approach in weakly specified search space

Cheng Li, Santu Rana, Vu Nguyen, 2018, Knowledge and Information Systems.

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework

Wei Luo, Cheng Li, Svetha Venkatesh, 2016, PAKDD.

Fixed-lag particle filter for continuous context discovery using Indian Buffet Process

Svetha Venkatesh, Dinh Q. Phung, Nguyen Cong Thuong, 2014, 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

An effective model for anomaly IDS to improve the efficiency

Sunil Gupta, Anita S. Chordia, S. Gupta, 2015, 2015 International Conference on Green Computing and Internet of Things (ICGCIoT).

Stable Bayesian Optimization

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2017, PAKDD.

Cascade Bayesian Optimization

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2016, Australasian Conference on Artificial Intelligence.

Clinical-Data Acceptance Testing Procedure

Sunil Gupta, 2008 .

Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media

Svetha Venkatesh, Santu Rana, Thin Nguyen, 2016, ADMA.

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data

Svetha Venkatesh, Dinh Q. Phung, Nguyen Cong Thuong, 2014, 2014 22nd International Conference on Pattern Recognition.

Real time sensor grid based secured health care monitoring

Goldie Gabrani, Sunil Gupta, G. Gabrani, 2017, 2017 Computing Conference.

Learner Specified Course Design: A Conjoint Based Methodology

Steven D. Silver, Sunil Gupta, 2015 .

Kernel Pre-Training in Feature Space via m-Kernels pdf

Cheng Li, Svetha Venkatesh, Alistair Shilton, 2018, ArXiv.

About Network Exploitation

Sunil Gupta, 2019 .

Advanced Programming Techniques

Sunil Gupta, 2015 .

Modelling multilevel data in multimedia: A hierarchical factor analysis approach

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2014, Multimedia Tools and Applications.

Stable clinical prediction using graph support vector machines

Cheng Li, Svetha Venkatesh, Dinh Q. Phung, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

High Dimensional Bayesian Optimization with Elastic Gaussian Process

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ICML.

Stable Bayesian optimization

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, International Journal of Data Science and Analytics.

A Bayesian Nonparametric Approach for Multi-label Classification

Cheng Li, Svetha Venkatesh, Santu Rana, 2016, ACML.

Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning

Svetha Venkatesh, Santu Rana, Thin Nguyen, 2016, ADMA.

Interactive browsing system for anomaly video surveillance

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2017, IEEE Journal of Biomedical and Health Informatics.

Security analysis of RSA and ECC in Mobile Wimax

Sunil Gupta, Rajesh Yadav, S. Srinivasan, 2016, 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES).

Expected Hypervolume Improvement with Constraints

Svetha Venkatesh, Alistair Shilton, Majid Abdolshah, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Basic Operations in Linux

Sunil Gupta, 2019 .

Bayesian functional optimisation with shape prior pdf

Svetha Venkatesh, Santu Rana, Pratibha Vellanki, 2018, AAAI.

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

Svetha Venkatesh, Brett Adams, Dinh Phung, 2011, SDM 2011.

Process-constrained batch Bayesian optimisation

Svetha Venkatesh, Santu Rana, Paul G. Sanders, 2017, NIPS.

Efficient Bayesian Optimisation Using Derivative Meta-model

Cheng Li, Svetha Venkatesh, Santu Rana, 2018, PRICAI.

Continuous discovery of co-location contexts from Bluetooth data

Svetha Venkatesh, Dinh Q. Phung, Dinh Phung, 2015 .

Bayesian nonparametric Multiple Instance Regression

Svetha Venkatesh, C. Shunmuga Velayutham, Santu Rana, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Review of Some Checkpointing Algorithms for Distributed and Mobile Systems

Parveen Kumar, Sunil Gupta, S. Gupta, 2011 .

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2017, Knowledge and Information Systems.

Sparse Spectrum Gaussian Process for Bayesian Optimisation pdf

Santu Rana, Svetha Venkatesh, Cheng Li, 2019, ArXiv.

Common Linux Terminal Commands

Sunil Gupta, 2019 .

Improved risk predictions via sparse imputation of patient conditions in electronic medical records

Svetha Venkatesh, Sunil Gupta, Budhaditya Saha, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Stable Bayesian Optimisation via Direct Stability Quantification pdf

Svetha Venkatesh, Alistair Shilton, Majid Abdolshah, 2019, ArXiv.

Multiple task transfer learning with small sample sizes

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2015, Knowledge and Information Systems.

Multi-objective Bayesian optimisation with preferences over objectives

Svetha Venkatesh, Alistair Shilton, Majid Abdolshah, 2019, NeurIPS.

Privacy Aware K-Means Clustering with High Utility

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2016, PAKDD.

Selecting Optimal Source for Transfer Learning in Bayesian Optimisation

Svetha Venkatesh, Santu Rana, Anil Ramachandran, 2018, PRICAI.

Multi-Target Optimisation via Bayesian Optimisation and Linear Programming

Svetha Venkatesh, Alistair Shilton, Santu Rana, 2018, UAI.

Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives pdf

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2019, Knowl. Based Syst..

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

Svetha Venkatesh, Dinh Q. Phung, Pratibha Vellanki, 2017, Knowledge and Information Systems.

What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2015, SDM.

A predictive framework for modeling healthcare data with evolving clinical interventions

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2015, Stat. Anal. Data Min..

Budgeted Batch Bayesian Optimization With Unknown Batch Sizes pdf

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ArXiv.

A framework for feature extraction from hospital medical data with applications in risk prediction

Wei Luo, Svetha Venkatesh, Truyen Tran, 2014, BMC Bioinformatics.

The Long-Term Impact of Promotion and Advertising on Consumer Brand Choice

Donald R. Lehmann, Carl F. Mela, Sunil Gupta, 1997 .

What Is a Free Customer Worth

Carl F. Mela, Sunil Gupta, S. Gupta, 2008 .

A dynamic two-level priority based authentication system for job scheduling in a heterogeneous grid environment

Goldie Gabrani, Sunil Gupta, 2016, 2016 SAI Computing Conference (SAI).

Pricing Access Services

Sunil Gupta, Skander Essegaier, S. Gupta, 2002 .

Demographic and clinical profile of substance abusing women seeking treatment at a de-addiction center in north India

Sunil Gupta, Siddharth Sarkar, Debasish Basu, 2013, Industrial psychiatry journal.

Assessing long-term promotional influences on market structure

Carl F. Mela, Sunil Gupta, Kamel Jedidi, 1998 .

Designing Freemium: Strategic Balancing Growth and Monetization

Sunil Gupta, Vineet Kumar, Clarence Lee, 2017 .

Allocating Marketing Resources

Sunil Gupta, Thomas J. Steenburgh, S. Gupta, 2008 .

The value of a "free" customer

Jose M. Vidal-Sanz, Carl F. Mela, Sunil Gupta, 2009 .