| Satnet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver PW Wang, P Donti, B Wilder, Z Kolter International Conference on Machine Learning, 6545-6554, 2019 | 276 | 2019 |
| Iteration Complexity of Feasible Descent Methods for Convex Optimization PW Wang, CJ Lin The Journal of Machine Learning Research 15, 1523-1548, 2014 | 168 | 2014 |
| A linear ensemble of individual and blended models for music rating prediction PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ... Proceedings of KDD Cup 2011, 21-60, 2012 | 68 | 2012 |
| Differentiable learning of numerical rules in knowledge graphs. PW Wang, D Stepanova, C Domokos, JZ Kolter ICLR, 2020 | 42 | 2020 |
| The mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints PW Wang, WC Chang, JZ Kolter arXiv preprint arXiv:1706.00476, 2017 | 38 | 2017 |
| On convergence rate of concave-convex procedure IEH Yen, N Peng, PW Wang, SD Lin proceedings of the NIPS 2012 optimization workshop, 31-35, 2012 | 37 | 2012 |
| Realtime query completion via deep language models PW Wang, JZ Kolter, V Mohan, IS Dhillon | 22 | 2018 |
| Low-rank semidefinite programming for the MAX2SAT problem PW Wang, JZ Kolter Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1641-1649, 2019 | 21 | 2019 |
| Limited-memory common-directions method for distributed optimization and its application on empirical risk minimization CP Lee, PW Wang, W Chen, CJ Lin Proceedings of the 2017 SIAM International Conference on Data Mining, 732-740, 2017 | 16 | 2017 |
| Novel models and ensemble techniques to discriminate favorite items from unrated ones for personalized music recommendation TG McKenzie, CS Ferng, YN Chen, CL Li, CH Tsai, KW Wu, YH Chang, ... Proceedings of KDD Cup 2011, 101-135, 2012 | 16 | 2012 |
| The common-directions method for regularized empirical risk minimization PW Wang, C Lee, CJ Lin Journal of Machine Learning Research 20 (58), 1-49, 2019 | 11 | 2019 |
| Epigraph projections for fast general convex programming PW Wang, M Wytock, Z Kolter International Conference on Machine Learning, 2868-2877, 2016 | 11 | 2016 |
| Neural query auto-correction and completion I Dhillon, V Mohan, PW Wang US Patent 11,106,690, 2021 | 10 | 2021 |
| Convex programming with fast proximal and linear operators M Wytock, PW Wang, JZ Kolter arXiv preprint arXiv:1511.04815, 2015 | 9 | 2015 |
| Transact: Transformer-based realtime user action model for recommendation at pinterest X Xia, P Eksombatchai, N Pancha, DD Badani, PW Wang, N Gu, SV Joshi, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 8 | 2023 |
| Community detection using fast low-cardinality semidefinite programming PW Wang, JZ Kolter Advances in neural information processing systems 33, 3374-3385, 2020 | 6 | 2020 |
| The mixing method for maxcut-sdp problem PW Wang, JZ Kolter NIPS LHDS Workshop 4 (3), 4, 2016 | 6 | 2016 |
| Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization C Lee, PW Wang, CJ Lin Mathematical Programming Computation 14 (3), 543-591, 2022 | 5 | 2022 |
| Efficient semidefinite-programming-based inference for binary and multi-class MRFs C Pabbaraju, PW Wang, JZ Kolter Advances in Neural Information Processing Systems 33, 4259-4270, 2020 | 5 | 2020 |
| Polynomial optimization methods for matrix factorization PW Wang, CL Li, J Kolter Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 3 | 2017 |
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
