| Crowdsourced Clustering: Querying Edges vs Triangles RK Vinayak, B Hassibi Advances in Neural Information Processing Systems, 2016 | 60 | 2016 |
| Maximum likelihood estimation for learning populations of parameters RK Vinayak, W Kong, G Valiant, S Kakade International Conference on Machine Learning, 6448-6457, 2019 | 49 | 2019 |
| Graph clustering with missing data: Convex algorithms and analysis R Korlakai Vinayak, S Oymak, B Hassibi Advances in Neural Information Processing Systems 27, 2014 | 44 | 2014 |
| Sharp performance bounds for graph clustering via convex optimization RK Vinayak, S Oymak, B Hassibi 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 23 | 2014 |
| Similarity clustering in the presence of outliers: Exact recovery via convex program RK Vinayak, B Hassibi 2016 IEEE International Symposium on Information Theory (ISIT), 91-95, 2016 | 15 | 2016 |
| One for All: Simultaneous Metric and Preference Learning over Multiple Users. G Canal, B Mason, RK Vinayak, R Nowak NeurIPS, 2022 | 11 | 2022 |
| Estimating the number and effect sizes of non-null hypotheses J Brennan, RK Vinayak, K Jamieson International Conference on Machine Learning, 1123-1133, 2020 | 10 | 2020 |
| Fisher-Pitman permutation tests based on nonparametric poisson mixtures with application to single cell genomics Z Miao, W Kong, RK Vinayak, W Sun, F Han Journal of the American Statistical Association 119 (545), 394-406, 2024 | 8 | 2024 |
| Promises and pitfalls of threshold-based auto-labeling H Vishwakarma, H Lin, F Sala, R Korlakai Vinayak Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Unbiased face synthesis with diffusion models: Are we there yet? H Rosenberg, S Ahmed, GV Ramesh, R Korlakai Vinayak, K Fawaz arXiv e-prints, arXiv: 2309.07277, 2023 | 5 | 2023 |
| Tensor-based crowdsourced clustering via triangle queries RK Vinayak, T Zrnic, B Hassibi 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 5 | 2017 |
| PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences D Chen, Y Chen, A Rege, RK Vinayak arXiv preprint arXiv:2406.08469, 2024 | 4 | 2024 |
| Metric learning from limited pairwise preference comparisons Z Wang, G So, RK Vinayak arXiv preprint arXiv:2403.19629, 2024 | 4 | 2024 |
| Crowdsourced Clustering via Active Querying: Practical Algorithm with Theoretical Guarantees Y Chen, RK Vinayak, B Hassibi Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 …, 2023 | 4 | 2023 |
| Optimal Estimation of Change in a Population of Parameters RK Vinayak, W Kong, SM Kakade arXiv preprint arXiv:1911.12568, 2019 | 4 | 2019 |
| Clustering by comparison: Stochastic block model for inference in crowdsourcing RK Vinayak, EDUB Hassibi, C EDU Workshop machine learning and crowdsourcing, 2016 | 4 | 2016 |
| Learning populations of preferences via pairwise comparison queries G Tatli, Y Chen, RK Vinayak International Conference on Artificial Intelligence and Statistics, 1720-1728, 2024 | 3 | 2024 |
| Learning preference distributions from distance measurements G Tatli, R Nowak, RK Vinayak 2022 58th Annual Allerton Conference on Communication, Control, and …, 2022 | 3 | 2022 |
| Graph Clustering: Algorithms, analysis and query design RK Vinayak California Institute of Technology, 2018 | 3 | 2018 |
| Taming False Positives in Out-of-Distribution Detection with Human Feedback H Vishwakarma, H Lin, RK Vinayak arXiv preprint arXiv:2404.16954, 2024 | 1 | 2024 |
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringE-mail confirmado em caltech.edu
