Sunil Gupta
Orcid: 0000-0002-3308-1930Affiliations:
- Deakin University, Center for Pattern Recognition and Data Analytics, Australia
According to our database1,
Sunil Gupta
authored at least 173 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning.
CoRR, 2024
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior.
CoRR, 2024
Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime.
CoRR, 2024
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Artif. Intell., December, 2023
Neurocomputing, November, 2023
CoRR, 2023
BO-Muse: A human expert and AI teaming framework for accelerated experimental design.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Asian Conference on Machine Learning, 2023
Proceedings of the Asian Conference on Machine Learning, 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces.
Trans. Mach. Learn. Res., 2022
Pattern Recognit., 2022
Verification of integrity of deployed deep learning models using Bayesian Optimization.
Knowl. Based Syst., 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
An Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments.
IEEE Trans. Image Process., 2021
Inf. Sci., 2021
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research.
CoRR, 2021
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support.
CoRR, 2021
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms.
CoRR, 2021
CoRR, 2021
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient.
BioData Min., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
A New Representation of Successor Features for Transfer across Dissimilar Environments.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing.
npj Digit. Medicine, 2020
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition.
CoRR, 2020
CoRR, 2020
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling.
CoRR, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Knowl. Inf. Syst., 2019
A flexible transfer learning framework for Bayesian optimization with convergence guarantee.
Expert Syst. Appl., 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
IEEE J. Biomed. Health Informatics, 2017
Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data.
Knowl. Inf. Syst., 2017
Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions.
Knowl. Inf. Syst., 2017
Low overhead octet indexed template security scheme for multi-modal biometric system.
J. Intell. Fuzzy Syst., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017
2016
Pattern Recognit. Lett., 2016
Multim. Tools Appl., 2016
A new transfer learning framework with application to model-agnostic multi-task learning.
Knowl. Inf. Syst., 2016
J. Biomed. Informatics, 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
A predictive framework for modeling healthcare data with evolving clinical interventions.
Stat. Anal. Data Min., 2015
Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso.
J. Biomed. Informatics, 2015
What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Improved risk predictions via sparse imputation of patient conditions in electronic medical records.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
2014
A framework for feature extraction from hospital medical data with applications in risk prediction.
BMC Bioinform., 2014
Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Fixed-lag particle filter for continuous context discovery using Indian Buffet Process.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
IEEE Trans. Multim., 2013
Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications, 2013
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2008
Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition.
Proceedings of the Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008