| Bellman-consistent pessimism for offline reinforcement learning T Xie, CA Cheng, N Jiang, P Mineiro, A Agarwal Advances in neural information processing systems 34, 6683-6694, 2021 | 229 | 2021 |
| Machine learning for big data T Condie, P Mineiro, N Polyzotis, M Weimer Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 113 | 2013 |
| Normalized online learning S Ross, P Mineiro, J Langford arXiv preprint arXiv:1305.6646, 2013 | 84 | 2013 |
| Analysis of direction selectivity arising from recurrent cortical interactions P Mineiro, D Zipser Neural Computation 10 (2), 353-371, 1998 | 59 | 1998 |
| Logarithmic time one-against-some H Daumé III, N Karampatziakis, J Langford, P Mineiro International Conference on Machine Learning, 923-932, 2017 | 52 | 2017 |
| Discriminative features via generalized eigenvectors N Karampatziakis, P Mineiro International conference on machine learning, 494-502, 2014 | 42 | 2014 |
| A Monte Carlo EM approach for partially observable diffusion processes: theory and applications to neural networks JR Movellan, P Mineiro, RJ Williams Neural computation 14 (7), 1507-1544, 2002 | 40 | 2002 |
| Robust sensor fusion: Analysis and application to audio visual speech recognition JR Movellan, P Mineiro Machine Learning 32, 85-100, 1998 | 35 | 1998 |
| Anytime-valid off-policy inference for contextual bandits I Waudby-Smith, L Wu, A Ramdas, N Karampatziakis, P Mineiro ACM/JMS Journal of Data Science, 2022 | 30 | 2022 |
| Fast label embeddings via randomized linear algebra P Mineiro, N Karampatziakis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 30 | 2015 |
| Learning reductions that really work A Beygelzimer, H Daumé, J Langford, P Mineiro Proceedings of the IEEE 104 (1), 136-147, 2015 | 26 | 2015 |
| Contextual bandits with large action spaces: Made practical Y Zhu, DJ Foster, J Langford, P Mineiro International Conference on Machine Learning, 27428-27453, 2022 | 22 | 2022 |
| Modularity and catastrophic fusion: A bayesian approach with applications to audio-visual speech recognition JR Movellan, P Mineiro Departement of Cognitive Science, USCD, San Diego, CA, Tech. Rep 97, 1997 | 19 | 1997 |
| Fast label embeddings for extremely large output spaces P Mineiro, N Karampatziakis arXiv preprint arXiv:1503.08873, 2015 | 18 | 2015 |
| A randomized algorithm for cca P Mineiro, N Karampatziakis arXiv preprint arXiv:1411.3409, 2014 | 17 | 2014 |
| Deploying a steered query optimizer in production at microsoft W Zhang, M Interlandi, P Mineiro, S Qiao, N Ghazanfari, K Lie, ... Proceedings of the 2022 International Conference on Management of Data, 2299 …, 2022 | 15 | 2022 |
| Distributed latent dirichlet allocation via tensor factorization F Huang, S Matusevych, A Anandkumar, N Karampatziakis, P Mineiro NIPS Optimization Workshop 1, 2014 | 15 | 2014 |
| A diffusion network approach to visual speech recognition JR Movellan, P Mineiro AVSP'99-International Conference on Auditory-Visual Speech Processing, 1999 | 14 | 1999 |
| Contextual bandits with smooth regret: Efficient learning in continuous action spaces Y Zhu, P Mineiro International Conference on Machine Learning, 27574-27590, 2022 | 13 | 2022 |
| Off-policy confidence sequences N Karampatziakis, P Mineiro, A Ramdas International Conference on Machine Learning, 5301-5310, 2021 | 11 | 2021 |
