Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Michael Wick
Observed names:
Michael L. Wick,
Michael Louis Wick,
Wick, Michael,
Wick, Michael L.,
Wick, Michael Louis
Institution:
Northeastern University
Observed institutions:
Northeastern University,
Oracle (United States),
University of Massachusetts Amherst,
Carnegie Mellon University
OpenAlex ID:
A5058514754
First-Order Probabilistic Models for Coreference Resolution
2007
·
Aron Culotta
, Michael Wick
, et al.
·
153
Scalable probabilistic databases with factor graphs and MCMC
2010
·
Michael Wick
, Andrew McCallum
, et al.
·
Proceedings of the VLDB Endowment
·
77
Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function
2007
·
Aron Culotta
, Pallika Kanani
, et al.
·
Scholarworks (University of Massachusetts Amherst)
·
77
PDF
Unlocking Fairness: a Trade-off Revisited
2019
·
Michael Wick
, Swetasudha Panda
, et al.
·
neural information processing systems
·
75
SampleRank: Training Factor Graphs with Atomic Gradients
2011
·
Khashayar Rohanimanesh
, Kedar Bellare
, et al.
·
50
A Discriminative Hierarchical Model for Fast Coreference at Large Scale
2012
·
Michael Wick
, Sameer Singh
, et al.
·
Scholarworks (University of Massachusetts Amherst)
·
48
PDF
A unified approach for schema matching, coreference and canonicalization
2008
·
Michael L. Wick
, Khashayar Rohanimanesh
, et al.
·
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
·
44
PDF
Hybrid in-database inference for declarative information extraction
2011
·
Daisy Zhe Wang
, Michael J. Franklin
, et al.
·
Proceedings - ACM-SIGMOD International Conference on Management of Data
·
34
Learning field compatibilities to extract database records from unstructured text
2006
·
Michael Wick
, Aron Culotta
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
33
PDF
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching
2016
·
Michael Wick
, Pallika Kanani
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
30
Canonicalization of database records using adaptive similarity measures
2007
·
Aron Culotta
, Michael Wick
, et al.
·
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
·
22
Gradient-Based Inference for Networks with Output Constraints
2019
·
Lee, Jay Yoon
, Mehta, Sanket Vaibhav
, et al.
·
AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
·
21
PDF
Exponential Stochastic Cellular Automata for Massively Parallel Inference
2016
·
Manzil Zaheer
, Michael Wick
, et al.
·
International Conference on Artificial Intelligence and Statistics
·
19
A joint model for discovering and linking entities
2013
·
Michael Wick
, Sameer Singh
, et al.
·
17
Query-Aware MCMC
2011
·
Michael Wick
, Andrew McCallum
·
neural information processing systems
·
17
Distantly Labeling Data for Large Scale Cross-Document Coreference
2010
·
Singh, Sameer
, Wick, Michael
, et al.
·
arXiv (Cornell University)
·
17
PDF
FACTORIE: Efficient Probabilistic Programming for Relational Factor Graphs via Imperative Declarations of Structure, Inference and Learning
2008
·
Andrew McCallum
, Khashayar Rohanimanesh
, et al.
·
ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
·
17
PDF
Online Post-Processing in Rankings for Fair Utility Maximization
2021
·
Ananya Gupta
, Eric Johnson
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
16
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
2012
·
Sameer Singh
, Michael Wick
, et al.
·
ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
·
15
PDF
A Corpus for Cross-Document Co-reference
2008
·
David Day
, Janet Hitzeman
, et al.
·
Language Resources and Evaluation Conference (LREC)
·
11
PDF
Assessing confidence of knowledge base content with an experimental study in entity resolution
2013
·
Michael Wick
, Sameer Singh
, et al.
·
8
Inference and Learning in Large Factor Graphs with Adaptive Proposal Distributions and a Rank-based Objective
2009
·
Khashayar Rohanimanesh
, Michael Wick
, et al.
·
ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
·
8
PDF
Gradient-Based Inference for Networks with Output Constraints
2019
·
Jay Yoon Lee
, Sanket Vaibhav Mehta
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
6
A Discriminative Approach to Ontology Mapping.
2008
·
Michael Wick
, Khashayar Rohanimanesh
, et al.
·
6
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data
2020
·
Wick, Michael L.
, Silverstein, Kate
, et al.
·
arXiv (Cornell University)
·
4
PDF
Show more works
View as search
Works count:
48
Citation count:
857
H-index:
17
I10-index:
20
Year
Topic
Type
