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Po-Wei Wang
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Iteration Complexity of Feasible Descent Methods for Convex Optimization
PW Wang, CJ Lin
The Journal of Machine Learning Research 15, 1523-1548, 2014
1512014
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
1362019
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
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
332012
Differentiable learning of numerical rules in knowledge graphs
PW Wang, D Stepanova, C Domokos, JZ Kolter
International Conference on Learning Representations, 2019
202019
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
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
142017
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
142017
Realtime query completion via deep language models
PW Wang, H Zhang, V Mohan, IS Dhillon, JZ Kolter
eCOM@ SIGIR, 2018
132018
The mixing method: coordinate descent for low-rank semidefinite programming
PW Wang, WC Chang, JZ Kolter
132017
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
92019
Epigraph projections for fast general convex programming
PW Wang, M Wytock, Z Kolter
International Conference on Machine Learning, 2868-2877, 2016
92016
The common-directions method for regularized empirical risk minimization
PW Wang, C Lee, CJ Lin
The Journal of Machine Learning Research 20 (1), 2072-2120, 2019
82019
Convex programming with fast proximal and linear operators
M Wytock, PW Wang, JZ Kolter
arXiv preprint arXiv:1511.04815, 2015
82015
The mixing method for maxcut-sdp problem
PW Wang, JZ Kolter
NIPS LHDS Workshop 4 (3), 4, 2016
52016
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
32020
Polynomial optimization methods for matrix factorization
PW Wang, CL Li, J Kolter
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
22017
Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization
C Lee, PW Wang, CJ Lin
Mathematical Programming Computation, 1-49, 2022
12022
Community detection using fast low-cardinality semidefinite programming
PW Wang, JZ Kolter
Advances in Neural Information Processing Systems 33, 3374-3385, 2020
12020
IMAGE SEGMENTION VIA EFFICIENT SEMIDEFINATE-PROGRAMMING BASED INFERENCE FOR BINARY AND MULTI-CLASS MARKOV RANDOM FIELDS
DT Willmott, C Pabbaraju, P Wang, J Kolter
US Patent App. 17/107,437, 2022
2022
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