| Crowdsourced Clustering: Querying Edges vs Triangles RK Vinayak, B Hassibi Advances in Neural Information Processing Systems, 2016 | 54 | 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 | 43 | 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 | 42 | 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 | 22 | 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 | 14 | 2016 |
| Estimating the number and effect sizes of non-null hypotheses J Brennan, RK Vinayak, K Jamieson International Conference on Machine Learning, 1123-1133, 2020 | 9 | 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 | 7 | 2024 |
| One for All: Simultaneous Metric and Preference Learning over Multiple Users. G Canal, B Mason, RK Vinayak, R Nowak NeurIPS, 2022 | 6 | 2022 |
| Optimal Estimation of Change in a Population of Parameters RK Vinayak, W Kong, SM Kakade arXiv preprint arXiv:1911.12568, 2019 | 4 | 2019 |
| Learning preference distributions from distance measurements G Tatli, R Nowak, RK Vinayak 2022 58th Annual Allerton Conference on Communication, Control, and …, 2022 | 3 | 2022 |
| Tensor-based crowdsourced clustering via triangle queries RK Vinayak, T Zrnic, B Hassibi 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 3 | 2017 |
| Clustering by comparison: Stochastic block model for inference in crowdsourcing RK Vinayak, EDUB Hassibi, C EDU Workshop machine learning and crowdsourcing, 2016 | 3 | 2016 |
| 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 | 2 | 2024 |
| Graph Clustering: Algorithms, analysis and query design RK Vinayak California Institute of Technology, 2018 | 2 | 2018 |
| Learning Populations of Preferences via Pairwise Comparison Queries G Tatli, Y Chen, RK Vinayak ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023 | 1 | 2023 |
| Good data from bad models: Foundations of threshold-based auto-labeling H Vishwakarma, H Lin, F Sala, RK Vinayak arXiv preprint arXiv:2211.12620, 2022 | 1 | 2022 |
| The illusion of change: Correcting for biases in change inference for sparse, societal-scale data G Cadamuro, R Korlakai Vinayak, J Blumenstock, S Kakade, J Shapiro The World Wide Web Conference, 2608-2615, 2019 | 1 | 2019 |
| Metric Learning from Limited Pairwise Preference Comparisons Z Wang, G So, RK Vinayak arXiv preprint arXiv:2403.19629, 2024 | | 2024 |
| Limitations of Face Image Generation H Rosenberg, S Ahmed, G Ramesh, K Fawaz, RK Vinayak Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14838 …, 2024 | | 2024 |
| Unraveling The Impact of Training Samples D Chen, J Zhang, RK Vinayak The Third Blogpost Track at ICLR 2024, 2024 | | 2024 |
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringBestätigte E-Mail-Adresse bei caltech.edu
