Michael Wick
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First-order probabilistic models for coreference resolution
A Culotta, M Wick, A McCallum
Human Language Technologies 2007: The Conference of the North American …, 2007
Author disambiguation using error-driven machine learning with a ranking loss function
A Culotta, P Kanani, R Hall, M Wick, A McCallum
Sixth International Workshop on Information Integration on the Web (IIWeb-07 …, 2007
Scalable probabilistic databases with factor graphs and MCMC
M Wick, A McCallum, G Miklau
arXiv preprint arXiv:1005.1934, 2010
A discriminative hierarchical model for fast coreference at large scale
M Wick, S Singh, A McCallum
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
Samplerank: Training factor graphs with atomic gradients
ML Wick, K Rohanimanesh, K Bellare, A Culotta, A McCallum
ICML, 2011
A unified approach for schema matching, coreference and canonicalization
ML Wick, K Rohanimanesh, K Schultz, A McCallum
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
An entity based model for coreference resolution
M Wick, A Culotta, K Rohanimanesh, A McCallum
Proceedings of the 2009 SIAM International Conference on Data Mining, 365-376, 2009
Samplerank: Learning preferences from atomic gradients
M Wick, K Rohanimanesh, A Culotta, A McCallum
Neural Information Processing Systems (NIPS), Workshop on Advances in Ranking, 2009
Context-sensitive error correction: Using topic models to improve OCR
M Wick, M Ross, E Learned-Miller
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
Hybrid in-database inference for declarative information extraction
DZ Wang, MJ Franklin, M Garofalakis, JM Hellerstein, ML Wick
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
Learning field compatibilities to extract database records from unstructured text
M Wick, A Culotta, A McCallum
Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006
Minimally-constrained multilingual embeddings via artificial code-switching
M Wick, P Kanani, A Pocock
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
A joint model for discovering and linking entities
M Wick, S Singh, H Pandya, A McCallum
Proceedings of the 2013 workshop on Automated knowledge base construction, 67-72, 2013
Monte Carlo MCMC: efficient inference by approximate sampling
S Singh, M Wick, A McCallum
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Canonicalization of database records using adaptive similarity measures
A Culotta, M Wick, R Hall, M Marzilli, A McCallum
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
Unlocking fairness: a trade-off revisited
M Wick, S Panda, JB Tristan
Gradient-based inference for networks with output constraints
JY Lee, SV Mehta, M Wick, JB Tristan, J Carbonell
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4147-4154, 2019
Factorie: Efficient probabilistic programming via imperative declarations of structure, inference and learning
A McCallum, K Rohanimanesh, M Wick, K Schultz, S Singh
NIPS workshop on Probabilistic Programming, 2008
Query-aware MCMC
M Wick, A McCallum
Advances in Neural Information Processing Systems 24, 2564-2572, 2011
Exponential stochastic cellular automata for massively parallel inference
M Zaheer, M Wick, JB Tristan, A Smola, G Steele
Artificial Intelligence and Statistics, 966-975, 2016
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