Sunil Gupta

发表

Logically Consistent Loss for Visual Question Answering pdf

Truyen Tran, Anh-Cat Le-Ngo, Santu Rana, 2020, ArXiv.

DeepCoDA: personalized interpretability for compositional health

Santu Rana, Sunil Gupta, Dang Nguyen, 2020, International Conference on Machine Learning.

Bayesian Optimization for Adaptive Experimental Design: A Review

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, IEEE Access.

Multiple adverse effects prediction in longitudinal cancer treatment

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

In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions

Bruce G. S. Hardie, Foster Provost, Oded Netzer, 2017 .

Reliability analysis of a novel IEC 61850-9-2 process-bus based substation automation system architecture

Sunil Gupta, Mohit Tiwari, Abhishek Gandhar, 2020 .

Bayesian Optimization with Discrete Variables

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2019, Australasian Conference on Artificial Intelligence.

Accelerating Experimental Design by Incorporating Experimenter Hunches

Ian Gibson, Santu Rana, Sunil Gupta, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Incorporating Expert Prior in Bayesian Optimisation via Space Warping pdf

Cheng Li, Santu Rana, Sunil Gupta, 2020, Knowl. Based Syst..

Detection of Compromised Models Using Bayesian Optimization

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2019, Australasian Conference on Artificial Intelligence.

GPS Satellite Advancements and its Future

Sunil Gupta, Aditya Agarwal, Gopal Kochhar, 2020 .

Codelist Dictionary Compliance Checks

Sunil Gupta, 2019 .

Accelerated Bayesian Optimization throughWeight-Prior Tuning

Cheng Li, Alireza Vahid, Santu Rana, 2018 .

Performance analysis of IEC 61850-9-2 process-bus based redundant substation automation system architecture

Shashi Gandhar, Sunil Gupta, Abhishek Gandhar, 2020 .

CDISC Specification Compliance Checks

Sunil Gupta, 2019 .

Bayesian optimisation in unknown bounded search domains

Santu Rana, Sunil Gupta, Vu Nguyen, 2020, Knowl. Based Syst..

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

Thommen George Karimpanal, Truyen Tran, Santu Rana, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Learning Latent Activities from Social Signals with Hierarchical Dirichlet Processes

Dinh Q. Phung, Sunil Gupta, Svetha Venkatesh, 2014 .

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation pdf

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, IJCAI.

A continuous mitigation of kVAR-voltage problem of hybrid isolated power system using UPFC

Shashi Gandhar, Sunil Gupta, Mohit Tiwari, 2020 .

Hybridization of K-means Clustering Using Different Distance Function to Find the Distance Among Dataset

Sunil Gupta, Girraj Khandelwal, Kusum Yadav, 2020 .

Incomplete Conditional Density Estimation for Fast Materials Discovery

Truyen Tran, Santu Rana, Sunil Gupta, 2019, SDM.

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network pdf

Truyen Tran, Phuoc Nguyen, Santu Rana, 2020, ArXiv.

A random walk down personalized single-cell networks: predicting the response of any gene to any drug for any patient

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2019, bioRxiv.

Bayesian Optimization with Missing Inputs pdf

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, ECML/PKDD.

Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition pdf

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, ArXiv.

Python: The Programming Language of Future

Deepak Sharma, Sunil Gupta, Akshansh Sharma, 2020 .

Bayesian Optimisation for Objective Functions with Varying Smoothness

Cheng Li, Santu Rana, Sunil Gupta, 2019, Australasian Conference on Artificial Intelligence.

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2019, Australasian Conference on Artificial Intelligence.

Distributional Reinforcement Learning via Moment Matching

Sunil Gupta, Svetha Venkatesh, Thanh Tang Nguyen, 2020 .

SDTMs and ADaMs Data Checks

Sunil Gupta, 2019 .

Level Set Estimation with Search Space Warping

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, PAKDD.

CDISC Data Compliance Checks

Sunil Gupta, 2019 .

Choice and the Internet: From Clickstream to Research Stream

Sunil Gupta, John D. C. Little, Carl F. Mela, 2002 .

Cost-aware Multi-objective Bayesian optimisation pdf

Majid Abdolshah, Santu Rana, Sunil Gupta, 2019, ArXiv.

Protocol Compliance Checks

Sunil Gupta, 2019 .

Accelerated Bayesian Optimisation through Weight-Prior Tuning

Alireza Vahid, Santu Rana, Sunil Gupta, 2020, AISTATS.

Distributionally Robust Bayesian Quadrature Optimization

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, AISTATS.

Note on Self-Restraint as an Online Entry-Deterrence Strategy

Sunil Gupta, Yunchuan Liu, Z. John Zhang, 2006, Manag. Sci..

An Application of CCTV in Conjunction of DRONE

Sunil Gupta, Gendal Lal, 2020 .

Gait Motion Analysis using Arduino and Blender 3d Software

Sunil Gupta, Nitin Khadane, 2020 .

Bayesian Optimization with Unknown Search Space

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2019, NeurIPS.

Distributional Reinforcement Learning with Maximum Mean Discrepancy pdf

Sunil Gupta, Svetha Venkatesh, Thanh Tang Nguyen, 2020, ArXiv.

Scalable Backdoor Detection in Neural Networks pdf

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, ECML/PKDD.

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization

Santu Rana, Sunil Gupta, Hung Tran-The, 2020, AAAI.

Michelin: Building a Digital Service Platform

Sunil Gupta, Christian Godwin, 2020 .

Unsupervised Anomaly Detection on Temporal Multiway Data

Truyen Tran, Kien Do, Phuoc Nguyen, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations

Cheng Li, Santu Rana, Sunil Gupta, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling pdf

Antonio Robles-Kelly, Cheng Li, Santu Rana, 2020, ArXiv.

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

Santu Rana, Sunil Gupta, Dang Nguyen, 2019, AAAI.

Learning distance-dependent motif interactions: an interpretable CNN model of genomic events

Sunil Gupta, Svetha Venkatesh, Dang Nguyen, 2020 .

Nonparametric discovery of movement patterns from accelerometer signals

Dinh Q. Phung, Nguyen Cong Thuong, Sunil Gupta, 2016, Pattern Recognit. Lett..

DeepCoDA: personalized interpretability for compositional health data

Santu Rana, Sunil Gupta, Dang Nguyen, 2020, ICML.

High Dimensional Level Set Estimation with Bayesian Neural Network pdf

Santu Rana, Sunil Gupta, Svetha Venkatesh, 2020, AAAI.

Variational Hyper-encoding Networks

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ECML/PKDD.

Fairness improvement for black-box classifiers with Gaussian process

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, Inf. Sci..

Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support pdf

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ArXiv.

On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces

Svetha Venkatesh, Sunil Gupta, Hung Tran-The, 2021, Trans. Mach. Learn. Res..

Plug and Play, Model-Based Reinforcement Learning pdf

Thommen George Karimpanal, Svetha Venkatesh, Majid Abdolshah, 2021, ArXiv.

On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks pdf

Svetha Venkatesh, Sunil Gupta, Hung Tran-The, 2021, ArXiv.

A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research pdf

Svetha Venkatesh, Sunil Gupta, Vuong Le, 2021, ArXiv.

A New Representation of Successor Features for Transfer across Dissimilar Environments pdf

Thommen George Karimpanal, Svetha Venkatesh, Majid Abdolshah, 2021, ICML.

Bayesian Optimistic Optimisation with Exponentially Decaying Regret

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ICML.

Fast Conditional Network Compression Using Bayesian HyperNetworks

Santu Rana, Sunil Gupta, Dang Nguyen, 2022, ECML/PKDD.

Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Distributional Reinforcement Learning via Moment Matching

Svetha Venkatesh, Sunil Gupta, Thanh Tang Nguyen, 2020, AAAI.

ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms pdf

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ArXiv.

An Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments

Subrahmanyam Murala, Anil Balaji Gonde, Sunil Gupta, 2021, IEEE Transactions on Image Processing.

Knowledge Distillation with Distribution Mismatch

Santu Rana, Sunil Gupta, Dang Nguyen, 2021, ECML/PKDD.

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

Thommen George Karimpanal, Svetha Venkatesh, Truyen Tran, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Web search activity data accurately predict population chronic disease risk in the USA

Wei Luo, Svetha Venkatesh, Truyen Tran, 2015, Journal of Epidemiology & Community Health.

New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, JOM.

Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset

Svetha Venkatesh, Truyen Tran, Wei Luo, 2015, PloS one.