JabRef references

Allender S, Hayward J, Gupta S, Sanigorski A, Rana S, Seward H, Jacobs S and Venkatesh S (2020), "Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing", npj Digital Medicine. Vol. 3(1), pp. 1-8. Nature Publishing Group.

BibTeX:

@article{allender2020bayesian,
  author = {Allender, S and Hayward, J and Gupta, S and Sanigorski, A and Rana, S and Seward, H and Jacobs, S and Venkatesh, S},
  title = {Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing},
  journal = {npj Digital Medicine},
  publisher = {Nature Publishing Group},
  year = {2020},
  volume = {3},
  number = {1},
  pages = {1--8}
}

Barnett M, Senadeera M, Fabijanic D, Shamlaye K, Joseph J, Kada S, Rana S, Gupta S and Venkatesh S (2020), "A scrap-tolerant alloying concept based on high entropy alloys", Acta Materialia. , pp. 735-744. Elsevier.

BibTeX:

@article{barnett2020scrap,
  author = {Barnett, MR and Senadeera, M and Fabijanic, D and Shamlaye, KF and Joseph, J and Kada, SR and Rana, S and Gupta, S and Venkatesh, S},
  title = {A scrap-tolerant alloying concept based on high entropy alloys},
  journal = {Acta Materialia},
  publisher = {Elsevier},
  year = {2020},
  pages = {735--744}
}

Berk J, Gupta S, Rana S and Venkatesh S (2020), "Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation", In Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020). , pp. 2284-2290.

BibTeX:

@inproceedings{berk2020randomised,
  author = {Berk, Julian and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation},
  booktitle = {Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020)},
  year = {2020},
  pages = {2284--2290}
}

Boll S, Sundram H, Venkatesh S, Larson M and Kankanhalli M (2020), "The World has Changed-The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future", In Proceedings of the 28th ACM International Conference on Multimedia. , pp. 4796-4798.

BibTeX:

@inproceedings{boll2020world,
  author = {Boll, Susanne and Sundram, Hari and Venkatesh, Svetha and Larson, Martha and Kankanhalli, Mohan},
  title = {The World has Changed-The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future},
  booktitle = {Proceedings of the 28th ACM International Conference on Multimedia},
  year = {2020},
  pages = {4796--4798}
}

Greenhill S, Rana S, Gupta S, Vellanki P and Venkatesh S (2020), "Bayesian Optimization for Adaptive Experimental Design: A Review", IEEE Access. Vol. 8, pp. 13937-13948. IEEE.

BibTeX:

@article{greenhill2020bayesian,
  author = {Greenhill, Stewart and Rana, Santu and Gupta, Sunil and Vellanki, Pratibha and Venkatesh, Svetha},
  title = {Bayesian Optimization for Adaptive Experimental Design: A Review},
  journal = {IEEE Access},
  publisher = {IEEE},
  year = {2020},
  volume = {8},
  pages = {13937--13948}
}

Harikumar H, Le V, Rana S, Bhattacharya S, Gupta S and Venkatesh S (2020), "Scalable Backdoor Detection in Neural Networks", In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020). , pp. 289-304.

BibTeX:

@inproceedings{harikumar2020ecml,
  author = {Harikumar, Haripriya and Le, Vuong and Rana, Santu and Bhattacharya, Sourangshu and Gupta, Sunil and Venkatesh, Svetha},
  title = {Scalable Backdoor Detection in Neural Networks},
  booktitle = {The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)},
  year = {2020},
  pages = {289--304}
}

Tran-The H, Gupta S, Rana S and Venkatesh S (2020), "Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization", In Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020). Vol. 34(03), pp. 2425-2432.

BibTeX:

@inproceedings{hungtranthe2020aaai,
  author = {Tran-The, Hung and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization},
  booktitle = {Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)},
  year = {2020},
  volume = {34},
  number = {03},
  pages = {2425--2432},
  doi = {10.1609/aaai.v34i03.5623}
}

Minh Le T, Le V, Venkatesh S and Tran T (2020), "Dynamic Language Binding in Relational Visual Reasoning", In Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020)., 7, 2020. , pp. 818-824. International Joint Conferences on Artificial Intelligence Organization.

[BibTeX] [DOI] [URL]

BibTeX:

@inproceedings{le2020dynamic,
  author = {Minh Le, Thao and Le, Vuong and Venkatesh, Svetha and Tran, Truyen},
  title = {Dynamic Language Binding in Relational Visual Reasoning},
  booktitle = {Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020)},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  year = {2020},
  pages = {818--824},
  url = {https://doi.org/10.24963/ijcai.2020/114},
  doi = {10.24963/ijcai.2020/114}
}

Le H, Tran T and Venkatesh S (2020), "Self-Attentive Associative Memory", In Thirty-seventh International Conference on Machine Learning (ICML). , pp. 5682-5691.

BibTeX:

@inproceedings{le2020icml,
  author = {Le, Hung and Tran, Truyen and Venkatesh, Svetha},
  title = {Self-Attentive Associative Memory},
  booktitle = {Thirty-seventh International Conference on Machine Learning (ICML)},
  year = {2020},
  pages = {5682--5691}
}

Le H, Tran T and Venkatesh S (2020), "Neural Stored-program Memory", In International Conference on Learning Representations (ICLR 2020). , pp. 1-27.

BibTeX:

@inproceedings{Le2020Neural,
  author = {Hung Le and Truyen Tran and Svetha Venkatesh},
  title = {Neural Stored-program Memory},
  booktitle = {International Conference on Learning Representations (ICLR 2020)},
  year = {2020},
  pages = {1--27},
  url = {https://openreview.net/forum?id=rkxxA24FDr}
}

Luong P, Nguyen D, Gupta S, Rana S and Venkatesh S (2020), "Bayesian Optimization with Missing Inputs", In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020). , pp. 691-706.

BibTeX:

@inproceedings{luong2020ecml,
  author = {Luong, Phuc and Nguyen, Dang and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {Bayesian Optimization with Missing Inputs},
  booktitle = {The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)},
  year = {2020},
  pages = {691--706}
}

Morais R, Le V, Tran T and Venkatesh S (2020), "Learning to Abstract and Predict Human Actions", In British Machine Vision Conference (BMVC). , pp. 1-13. British Machine Vision Association.

BibTeX:

@inproceedings{morais2020learning,
  author = {Morais, Romero and Le, Vuong and Tran, Truyen and Venkatesh, Svetha},
  title = {Learning to Abstract and Predict Human Actions},
  booktitle = {British Machine Vision Conference (BMVC)},
  publisher = {British Machine Vision Association},
  year = {2020},
  pages = {1--13}
}

Nguyen T, Gupta S, Raman J, Bellomo R and Venkatesh S (2020), "Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions", Critical Care and Resuscitation. Vol. 22(4), pp. PMID: 33105920.

BibTeX:

@article{Nguyen_etal_20Geolocated,
  author = {Thin Nguyen and Sunil Gupta and Jaishankar Raman and Rinaldo Bellomo and Svetha Venkatesh},
  title = {Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions},
  journal = {Critical Care and Resuscitation},
  year = {2020},
  volume = {22},
  number = {4},
  pages = {PMID: 33105920}
}

Nguyen T, Le H, Quinn TP, Nguyen T, Le T and Venkatesh S (2020), "GraphDTA: Predicting drug--target binding affinity with graph neural networks", Bioinformatics. , pp. 1-8.

BibTeX:

@article{Nguyen_etal_20GraphDTA,
  author = {Nguyen, Thin and Le, Hang and Quinn, Thomas P and Nguyen, Tri and Le, Thuc and Venkatesh, Svetha},
  title = {GraphDTA: Predicting drug--target binding affinity with graph neural networks},
  journal = {Bioinformatics},
  year = {2020},
  pages = {1--8}
}

Nguyen T, Nguyen DT, Le TD and Venkatesh S (2020), "MrPC: Causal structure learning in distributed systems", In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP). , pp. 87-94.

BibTeX:

@inproceedings{Nguyen_etal_20MrPC,
  author = {Thin Nguyen and Duc Thanh Nguyen and Thuc Duy Le and Svetha Venkatesh},
  title = {MrPC: Causal structure learning in distributed systems},
  booktitle = {Proceedings of the 27th International Conference on Neural Information Processing (ICONIP)},
  year = {2020},
  pages = {87--94}
}

Nguyen TT, Gupta S, Ha H, Rana S and Venkatesh S (2020), "Distributionally Robust Bayesian Quadrature Optimization", In International Conference on Artificial Intelligence and Statistics, AISTATS 2020. , pp. 1-16.

BibTeX:

@inproceedings{Nguyen20,
  author = {Thanh Tang Nguyen and Sunil Gupta and Huong Ha and Santu Rana and Svetha Venkatesh},
  title = {Distributionally Robust Bayesian Quadrature Optimization},
  booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2020},
  year = {2020},
  pages = {1--16},
  url = {http://proceedings.mlr.press/v86/...}
}

Nguyen D, Gupta S, Rana S, Shilton A and Venkatesh S (2020), "Bayesian Optimization for Categorical and Category-Specific Continuous Inputs", In Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Vol. 34(04), pp. 5256-5263.

BibTeX:

@inproceedings{nguyen2020aaai,
  author = {Nguyen, Dang and Gupta, Sunil and Rana, Santu and Shilton, Alistair and Venkatesh, Svetha},
  title = {Bayesian Optimization for Categorical and Category-Specific Continuous Inputs},
  booktitle = {Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)},
  year = {2020},
  volume = {34},
  number = {04},
  pages = {5256--5263},
  doi = {10.1609/aaai.v34i04.5971}
}

Nguyen D, Venkatesh S, Nguyen P and Tran T (2020), "Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning", In Asian Conference on Machine Learning (ACML). , pp. 817-832.

BibTeX:

@inproceedings{nguyen2020acml,
  author = {Nguyen, Dung and Venkatesh, Svetha and Nguyen, Phuoc and Tran, Truyen},
  title = {Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning},
  booktitle = {Asian Conference on Machine Learning (ACML)},
  year = {2020},
  pages = {817--832}
}

Quinn T, Nguyen D, Rana S, Gupta S and Venkatesh S (2020), "DeepCoDA: personalized interpretability for compositional health", In Thirty-seventh International Conference on Machine Learning (ICML 2020). , pp. 7877-7886.

BibTeX:

@inproceedings{nguyen2020icml,
  author = {Quinn, Thomas and Nguyen, Dang and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha},
  title = {DeepCoDA: personalized interpretability for compositional health},
  booktitle = {Thirty-seventh International Conference on Machine Learning (ICML 2020)},
  year = {2020},
  pages = {7877--7886}
}

Senadeera M, Rana S, Gupta S and Venkatesh S (2020), "Level Set Estimation with Search Space Warping", In Pacific-Asia Conference on Knowledge Discovery and Data Mining. , pp. 827-839.

BibTeX:

@inproceedings{senadeera2020level,
  author = {Senadeera, Manisha and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha},
  title = {Level Set Estimation with Search Space Warping},
  booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining},
  year = {2020},
  pages = {827--839}
}

Shilton A, Gupta S, Rana S, Vellanki P, Li C, Venkatesh S, Park L, Sutti A, Rubin D, Dorin T, Vahid A, Height M and Slezak T (2020), "Accelerated Bayesian Optimisation through Weight-Prior Tuning", In International Conference on Artificial Intelligence and Statistics, AISTATS 2020. , pp. 635-645.

BibTeX:

@inproceedings{Shi23,
  author = {Shilton, Alistair and Gupta, Sunil and Rana, Santu and Vellanki, Pratibha and Li, Cheng and Venkatesh, Svetha and Park, Laurence and Sutti, Alessandra and Rubin, David and Dorin, Thomas and Vahid, Alireza and Height, Murray and Slezak, Teo},
  title = {Accelerated Bayesian Optimisation through Weight-Prior Tuning},
  booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2020},
  year = {2020},
  pages = {635--645}
}

Karimpanal TG, Rana S, Gupta S, Tran T and Venkatesh S (2020), "Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning", In International Joint Conference on Neural Networks (IJCNN 2020). , pp. 1-10.

BibTeX:

@inproceedings{thommen2020ijcnn,
  author = {Karimpanal, Thommen George and Rana, Santu and Gupta, Sunil and Tran, Truyen and Venkatesh, Svetha},
  title = {Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning},
  booktitle = {International Joint Conference on Neural Networks (IJCNN 2020)},
  year = {2020},
  pages = {1--10}
}

Tran-The H, Gupta S, Rana S, Ha H and Venkatesh S (2020), "Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces", In Conference on Neural Information Processing Systems (NeurIPS 2020). , pp. 16271-16281.

BibTeX:

@inproceedings{tranthe2020sublinear,
  author = {Hung Tran-The and Sunil Gupta and Santu Rana and Huong Ha and Svetha Venkatesh},
  title = {Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces},
  booktitle = {Conference on Neural Information Processing Systems (NeurIPS 2020)},
  year = {2020},
  pages = {16271--16281}
}