Po-Wei Wang
Title
Cited by
Cited by
Year
Iteration Complexity of Feasible Descent Methods for Convex Optimization
PW Wang, CJ Lin
The Journal of Machine Learning Research 15, 1523-1548, 2014
1442014
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
622012
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
512019
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
302012
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
162012
The mixing method: coordinate descent for low-rank semidefinite programming
PW Wang, WC Chang, JZ Kolter
112017
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
102017
Realtime query completion via deep language models
PW Wang, H Zhang, V Mohan, IS Dhillon, JZ Kolter
eCOM@ SIGIR, 2018
92018
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
92017
Epigraph projections for fast general convex programming
PW Wang, M Wytock, Z Kolter
International Conference on Machine Learning, 2868-2877, 2016
72016
Convex programming with fast proximal and linear operators
M Wytock, PW Wang, JZ Kolter
arXiv preprint arXiv:1511.04815, 2015
72015
The Common-directions Method for Regularized Empirical Risk Minimization.
PW Wang, C Lee, CJ Lin
J. Mach. Learn. Res. 20, 58:1-58:49, 2019
62019
The mixing method for maxcut-sdp problem
PW Wang, JZ Kolter
NIPS LHDS Workshop 4 (3), 4, 2016
62016
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
32019
Differentiable learning of numerical rules in knowledge graphs
PW Wang, D Stepanova, C Domokos, JZ Kolter
International Conference on Learning Representations, 2019
22019
Polynomial optimization methods for matrix factorization
PW Wang, CL Li, J Kolter
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
12017
Community detection using fast low-cardinality semidefinite programming
PW Wang, JZ Kolter
arXiv preprint arXiv:2012.02676, 2020
2020
Neural network with a layer solving a semidefinite program
C Domokos, JZ Kolter, PW Wang, PL Donti
US Patent App. 16/872,702, 2020
2020
Efficient semidefinite-programming-based inference for binary and multi-class MRFs
C Pabbaraju, PW Wang, JZ Kolter
Advances in Neural Information Processing Systems 33, 2020
2020
Limited-memory Common-directions Method for Large-scale Optimization: Convergence, Parallelization, and Distributed Optimization
C Lee, PW Wang, CJ Lin
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Articles 1–20