Michael L. Wick

According to our database1, Michael L. Wick authored at least 37 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT.
CoRR, 2024

2022
Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Online Post-Processing in Rankings for Fair Utility Maximization.
Proceedings of the WSDM '21, 2021

Conjugate Energy-Based Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data.
CoRR, 2020

Verification of ML Systems via Reparameterization.
CoRR, 2020

2019
Unlocking Fairness: a Trade-off Revisited.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Scaling Hierarchical Coreference with Homomorphic Compression.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Sketching for Latent Dirichlet-Categorical Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Gradient-Based Inference for Networks with Output Constraints.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
Enforcing Constraints on Outputs with Unconstrained Inference.
CoRR, 2017

Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016
Filling in the details: Perceiving from low fidelity images.
CoRR, 2016

Query-Driven Sampling for Collective Entity Resolution.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Exponential Stochastic Cellular Automata for Massively Parallel Inference.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2013
A joint model for discovering and linking entities.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

Assessing confidence of knowledge base content with an experimental study in entity resolution.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

2012
Human-Machine Cooperation: Supporting User Corrections to Automatically Constructed KBs.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Monte Carlo MCMC: Efficient Inference by Sampling Factors.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Monte Carlo MCMC: Efficient Inference by Approximate Sampling.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

A Discriminative Hierarchical Model for Fast Coreference at Large Scale.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Hybrid in-database inference for declarative information extraction.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Query-Aware MCMC.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

SampleRank: Training Factor Graphs with Atomic Gradients.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Scalable Probabilistic Databases with Factor Graphs and MCMC.
Proc. VLDB Endow., 2010

Distantly Labeling Data for Large Scale Cross-Document Coreference
CoRR, 2010

2009
An Entity Based Model for Coreference Resolution.
Proceedings of the SIAM International Conference on Data Mining, 2009

Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
A Discriminative Approach to Ontology Mapping.
Proceedings of the International Workshop on New Trends in Information Integration, 2008

A Corpus for Cross-Document Co-reference.
Proceedings of the International Conference on Language Resources and Evaluation, 2008

A unified approach for schema matching, coreference and canonicalization.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
First-Order Probabilistic Models for Coreference Resolution.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Canonicalization of database records using adaptive similarity measures.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Context-Sensitive Error Correction: Using Topic Models to Improve OCR.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
Learning Field Compatibilities to Extract Database Records from Unstructured Text.
Proceedings of the EMNLP 2006, 2006


  Loading...