Sunil Gupta 0001 - researchr alias

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Viewing Publication 1 - 63 from 63

2024

Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient ProjectionTuan Hoang, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. wacv 2024: 4807-4816 [doi]

Root Cause Explanation of Outliers under Noisy MechanismsPhuoc Nguyen, Truyen Tran 0001, Sunil Gupta 0001, Thin Nguyen, Svetha Venkatesh. AAAI 2024: 20508-20515 [doi]

2023

Balanced Q-learning: Combining the influence of optimistic and pessimistic targetsThommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta 0001, Truyen Tran 0001, Svetha Venkatesh. ai, 325:104021, December 2023. [doi]

Unified Multi-Weather Visibility RestorationAshutosh Kulkarni, Prashant W. Patil, Subrahmanyam Murala, Sunil Gupta 0001. tmm, 25:7686-7698, 2023. [doi]

Guiding Visual Question Answering with Attention PriorsThao Minh Le, Vuong Le, Sunil Gupta 0001, Svetha Venkatesh, Truyen Tran 0001. wacv 2023: 4370-4379 [doi]

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function ApproximationThanh Nguyen-Tang, Ming Yin, Sunil Gupta 0001, Svetha Venkatesh, Raman Arora. AAAI 2023: 9310-9318 [doi]

Multi-weather Image Restoration via Domain TranslationPrashant W. Patil, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala. iccv 2023: 21639-21648 [doi]

NeuralBO: A black-box optimization algorithm using deep neural networksDat Phan-Trong, Hung Tran-The, Sunil Gupta 0001. ijon, 559:126776, November 2023. [doi]

Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach SpaceAlistair Shilton, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. icml 2023: 31435-31488 [doi]

2022

Black-Box Few-Shot Knowledge DistillationDang Nguyen 0002, Sunil Gupta 0001, Kien Do, Svetha Venkatesh. eccv 2022: 196-211 [doi]

Real-Time Skill Discovery in Intelligent Virtual AssistantsPreeti Gopal, Sunil Gupta 0001, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh. pakdd 2022: 315-327 [doi]

Semantic Control of Generative Musical AttributesStewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta 0001, Svetha Venkatesh. ismir 2022: 817-824 [doi]

Prescriptive analytics with differential privacyHaripriya Harikumar, Santu Rana, Sunil Gupta 0001, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh. ijdsa, 13(2):123-138, 2022. [doi]

Verification of integrity of deployed deep learning models using Bayesian OptimizationDeepthi Praveenlal Kuttichira, Sunil Gupta 0001, Dang Nguyen 0002, Santu Rana, Svetha Venkatesh. kbs, 241:108238, 2022. [doi]

Learning to Constrain Policy Optimization with Virtual Trust RegionThai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta 0001, Svetha Venkatesh. nips 2022: [doi]

Offline Neural Contextual Bandits: Pessimism, Optimization and GeneralizationThanh Nguyen-Tang, Sunil Gupta 0001, A. Tuan Nguyen, Svetha Venkatesh. iclr 2022: [doi]

On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov SpacesThanh Nguyen-Tang, Sunil Gupta 0001, Hung Tran-The, Svetha Venkatesh. tmlr, 2022, 2022. [doi]

Video Restoration Framework and Its Meta-adaptations to Data-Poor ConditionsPrashant W. Patil, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. eccv 2022: 143-160 [doi]

Dual-frame spatio-temporal feature modulation for video enhancementPrashant W. Patil, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. PR, 130:108822, 2022. [doi]

Sympathy-based Reinforcement Learning AgentsManisha Senadeera, Thommen George Karimpanal, Sunil Gupta 0001, Santu Rana. atal 2022: 1164-1172 [doi]

TRF: Learning Kernels with Tuned Random FeaturesAlistair Shilton, Sunil Gupta 0001, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh. AAAI 2022: 8286-8294 [doi]

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit OptimizationHung Tran-The, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. aistats 2022: 8715-8737 [doi]

Expected Improvement for Contextual BanditsHung Tran-The, Sunil Gupta 0001, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh. nips 2022: [doi]

2021

Knowledge Distillation with Distribution MismatchDang Nguyen 0002, Sunil Gupta 0001, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran 0001, Ky Le, Shannon Ryan, Svetha Venkatesh. pkdd 2021: 250-265 [doi]

Fairness improvement for black-box classifiers with Gaussian processDang Nguyen 0002, Sunil Gupta 0001, Santu Rana, Alistair Shilton, Svetha Venkatesh. isci, 576:542-556, 2021. [doi]

A New Representation of Successor Features for Transfer across Dissimilar EnvironmentsMajid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. icml 2021: 1-9 [doi]

High Dimensional Level Set Estimation with Bayesian Neural NetworkHuong Ha, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. AAAI 2021: 12095-12103 [doi]

Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patientHaripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. biodatamining, 14(1), 2021. [doi]

Adaptive cost-aware Bayesian optimizationPhuc Luong, Dang Nguyen 0002, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. kbs, 232:107481, 2021. [doi]

Distributional Reinforcement Learning via Moment MatchingThanh Nguyen-Tang, Sunil Gupta 0001, Svetha Venkatesh. AAAI 2021: 9144-9152 [doi]

Fast Conditional Network Compression Using Bayesian HyperNetworksPhuoc Nguyen, Truyen Tran 0001, Ky Le, Sunil Gupta 0001, Santu Rana, Dang Nguyen 0002, Trong Nguyen, Shannon Ryan, Svetha Venkatesh. pkdd 2021: 330-345 [doi]

Variational Hyper-encoding NetworksPhuoc Nguyen, Truyen Tran 0001, Sunil Gupta 0001, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh. pkdd 2021: 100-115 [doi]

An Unified Recurrent Video Object Segmentation Framework for Various Surveillance EnvironmentsPrashant W. Patil, Akshay Dudhane, Ashutosh Kulkarni, Subrahmanyam Murala, Anil Balaji Gonde, Sunil Gupta 0001. TIP, 30:7889-7902, 2021. [doi]

Bayesian Optimistic Optimisation with Exponentially Decaying RegretHung Tran-The, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. icml 2021: 10390-10400 [doi]

Kernel Functional OptimisationArun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. nips 2021: 4725-4737 [doi]

Sparse Spectrum Gaussian Process for Bayesian OptimizationAng Yang, Cheng Li 0003, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. pakdd 2021: 257-268 [doi]

2020

Factor Screening using Bayesian Active Learning and Gaussian Process Meta-ModellingCheng Li 0003, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta 0001, Svetha Venkatesh. icpr 2021: 3288-3295 [doi]

Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribingSteven Allender, J. Hayward, Sunil Gupta 0001, A. Sanigorski, Santu Rana, Hugh Seward, S. Jacobs, Svetha Venkatesh. npjdm, 3, 2020. [doi]

Randomised Gaussian Process Upper Confidence Bound for Bayesian OptimisationJulian Berk, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. IJCAI 2020: 2284-2290 [doi]

Bayesian optimisation in unknown bounded search domainsJulian Berk, Sunil Gupta 0001, Santu Rana, Vu Nguyen 0001, Svetha Venkatesh. kbs, 195:105645, 2020. [doi]

Bayesian Optimization for Adaptive Experimental Design: A ReviewStewart Greenhill, Santu Rana, Sunil Gupta 0001, Pratibha Vellanki, Svetha Venkatesh. access, 8:13937-13948, 2020. [doi]

Scalable Backdoor Detection in Neural NetworksHaripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta 0001, Svetha Venkatesh. pkdd 2021: 289-304 [doi]

Fast hyperparameter tuning using Bayesian optimization with directional derivativesTinu Theckel Joy, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. kbs, 205:106247, 2020. [doi]

Batch Bayesian optimization using multi-scale searchTinu Theckel Joy, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. kbs, 187, 2020. [doi]

Learning Transferable Domain Priors for Safe Exploration in Reinforcement LearningThommen George Karimpanal, Santu Rana, Sunil Gupta 0001, Truyen Tran 0001, Svetha Venkatesh. ijcnn 2020: 1-10 [doi]

Bayesian Optimization with Missing InputsPhuc Luong, Dang Nguyen, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. pkdd 2021: 691-706 [doi]

Distributionally Robust Bayesian Quadrature OptimizationThanh Tang Nguyen, Sunil Gupta 0001, Huong Ha, Santu Rana, Svetha Venkatesh. aistats 2020: 1921-1931 [doi]

Bayesian Optimization for Categorical and Category-Specific Continuous InputsDang Nguyen, Sunil Gupta 0001, Santu Rana, Alistair Shilton, Svetha Venkatesh. AAAI 2020: 5256-5263 [doi]

Unsupervised Anomaly Detection on Temporal Multiway DataDuc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta 0001, Truyen Tran 0001. ssci 2020: 1059-1066 [doi]

{DThomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. icml 2020: 7877-7886 [doi]

Incorporating expert prior in Bayesian optimisation via space warpingAnil Ramachandran, Sunil Gupta 0001, Santu Rana, Cheng Li 0003, Svetha Venkatesh. kbs, 195:105663, 2020. [doi]

Level Set Estimation with Search Space WarpingManisha Senadeera, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. pakdd 2020: 827-839 [doi]

Accelerated Bayesian Optimisation through Weight-Prior TuningAlistair Shilton, Sunil Gupta 0001, Santu Rana, Pratibha Vellanki, Cheng Li 0003, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak. aistats 2020: 635-645 [doi]

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian OptimizationHung Tran-The, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. AAAI 2020: 2425-2432 [doi]

Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search SpacesHung Tran-The, Sunil Gupta 0001, Santu Rana, Huong Ha, Svetha Venkatesh. nips 2020: [doi]

2019

Filtering Bayesian optimization approach in weakly specified search spaceVu Nguyen 0001, Sunil Gupta 0001, Santu Rana, Cheng Li 0003, Svetha Venkatesh. kais, 60(1):385-413, 2019. [doi]

Multi-objective Bayesian optimisation with preferences over objectivesMajid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh. nips 2019: 12214-12224 [doi]

Bayesian Optimization with Unknown Search SpaceHuong Ha, Santu Rana, Sunil Gupta 0001, Thanh Nguyen, Hung Tran-The, Svetha Venkatesh. nips 2019: 11772-11781 [doi]

Bayesian Optimisation for Objective Functions with Varying SmoothnessA. V. Arun Kumar, Santu Rana, Cheng Li 0001, Sunil Gupta 0001, Alistair Shilton, Svetha Venkatesh. ausai 2019: 460-472 [doi]

Detection of Compromised Models Using Bayesian OptimizationDeepthi Praveenlal Kuttichira, Sunil Gupta 0001, Dang Nguyen 0002, Santu Rana, Svetha Venkatesh. ausai 2019: 485-496 [doi]

Bayesian Optimization with Discrete VariablesPhuc Luong, Sunil Gupta 0001, Dang Nguyen 0001, Santu Rana, Svetha Venkatesh. ausai 2019: 473-484 [doi]

Incomplete Conditional Density Estimation for Fast Materials DiscoveryPhuoc Nguyen, Truyen Tran 0001, Sunil Gupta 0001, Santu Rana, Matthew Barnett, Svetha Venkatesh. sdm 2019: 549-557 [doi]

Information-Theoretic Multi-task Learning Framework for Bayesian OptimisationAnil Ramachandran, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. ausai 2019: 497-509 [doi]

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