| Layered constructions for low-delay streaming codes A Badr, P Patil, A Khisti, WT Tan, J Apostolopoulos IEEE Transactions on Information Theory 63 (1), 111-141, 2016 | 110 | 2016 |
| Stock market prediction using ensemble of graph theory, machine learning and deep learning models P Patil, CSM Wu, K Potika, M Orang Proceedings of the 3rd international conference on software engineering and …, 2020 | 63 | 2020 |
| An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences 118 (51), e2111452118, 2021 | 62 | 2021 |
| Uniform consistency of cross-validation estimators for high-dimensional ridge regression P Patil, Y Wei, A Rinaldo, R Tibshirani International conference on artificial intelligence and statistics, 3178-3186, 2021 | 56 | 2021 |
| Hybrid compression and message-sharing strategy for the downlink cloud radio-access network P Patil, W Yu 2014 Information Theory and Applications Workshop (ITA), 1-6, 2014 | 46 | 2014 |
| Comparison of different machine learning algorithms for multiple regression on black friday sales data CSM Wu, P Patil, S Gunaseelan 2018 IEEE 9th International Conference on Software Engineering and Service …, 2018 | 36 | 2018 |
| An uplink-downlink duality for cloud radio access network L Liu, P Patil, W Yu 2016 IEEE International Symposium on Information Theory (ISIT), 1606-1610, 2016 | 27 | 2016 |
| Performance comparison of data-sharing and compression strategies for cloud radio access networks P Patil, B Dai, W Yu 2015 23rd European Signal Processing Conference (EUSIPCO), 2456-2460, 2015 | 21 | 2015 |
| Generalized compression strategy for the downlink cloud radio access network P Patil, W Yu IEEE Transactions on Information Theory 65 (10), 6766-6780, 2019 | 19 | 2019 |
| Uplink-downlink duality between multiple-access and broadcast channels with compressing relays L Liu, YF Liu, P Patil, W Yu IEEE Transactions on Information Theory 67 (11), 7304-7337, 2021 | 18 | 2021 |
| Mitigating multiple descents: A model-agnostic framework for risk monotonization P Patil, AK Kuchibhotla, Y Wei, A Rinaldo arXiv preprint arXiv:2205.12937, 2022 | 17 | 2022 |
| Hybrid data-sharing and compression strategy for downlink cloud radio access network P Patil, B Dai, W Yu IEEE Transactions on Communications 66 (11), 5370-5384, 2018 | 16 | 2018 |
| Delay-optimal streaming codes under source-channel rate mismatch P Patil, A Badr, A Khisti, WT Tan 2013 Asilomar Conference on Signals, Systems and Computers, 2094-2099, 2013 | 16 | 2013 |
| Bagging in overparameterized learning: Risk characterization and risk monotonization P Patil, JH Du, AK Kuchibhotla Journal of Machine Learning Research 24 (319), 1-113, 2023 | 15 | 2023 |
| Asymptotics of the sketched pseudoinverse D LeJeune, P Patil, H Javadi, RG Baraniuk, RJ Tibshirani SIAM Journal on Mathematics of Data Science 6 (1), 199-225, 2024 | 14 | 2024 |
| Estimating functionals of the out-of-sample error distribution in high-dimensional ridge regression P Patil, A Rinaldo, R Tibshirani International conference on artificial intelligence and statistics, 6087-6120, 2022 | 14 | 2022 |
| Subsample ridge ensembles: Equivalences and generalized cross-validation JH Du, P Patil, AK Kuchibhotla arXiv preprint arXiv:2304.13016, 2023 | 13 | 2023 |
| Uncertainty quantification for wide-bin unfolding: one-at-a-time strict bounds and prior-optimized confidence intervals M Stanley, P Patil, M Kuusela Journal of Instrumentation 17 (10), P10013, 2022 | 12 | 2022 |
| Generalized equivalences between subsampling and ridge regularization P Patil, JH Du Advances in Neural Information Processing Systems 36, 78926-78963, 2023 | 10 | 2023 |
| Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning P Patil, D LeJeune arXiv preprint arXiv:2310.04357, 2023 | 9 | 2023 |
Wei YuUniversity of Torontoece.utoronto.ca의 이메일 확인됨