Michael L. Wick

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 19

Top Topics

Lagrangian Relaxation

Utility Maximization

Entity Resolution

Top Venues

Publications

Muhammad Ali, Swetasudha Panda, Qinlan Shen, Michael L. Wick, Ari Kobren
Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT. CoRR (2024)
Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models. ACL (1) (2022)
Swetasudha Panda, Ari Kobren, Michael L. Wick, Qinlan Shen
Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models. EMNLP (Findings) (2022)
Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent
Conjugate Energy-Based Models. ICML (2021)
Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent
Conjugate Energy-Based Models. CoRR (2021)
Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick
Online Post-Processing in Rankings for Fair Utility Maximization. WSDM (2021)
Jean-Baptiste Tristan, Joseph Tassarotti, Koundinya Vajjha, Michael L. Wick, Anindya Banerjee
Verification of ML Systems via Reparameterization. CoRR (2020)
Michael L. Wick, Kate Silverstein, Jean-Baptiste Tristan, Adam Craig Pocock, Mark Johnson
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data. CoRR (2020)
Michael L. Wick, Swetasudha Panda, Joseph Tassarotti, Jean-Baptiste Tristan
Scaling Hierarchical Coreference with Homomorphic Compression. AKBC (2019)
Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
Gradient-Based Inference for Networks with Output Constraints. AAAI (2019)
Michael L. Wick, Swetasudha Panda, Jean-Baptiste Tristan
Unlocking Fairness: a Trade-off Revisited. NeurIPS (2019)
Joseph Tassarotti, Jean-Baptiste Tristan, Michael L. Wick
Sketching for Latent Dirichlet-Categorical Models. AISTATS (2019)
Joseph Tassarotti, Jean-Baptiste Tristan, Michael L. Wick
Sketching for Latent Dirichlet-Categorical Models. CoRR (2018)
Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
Enforcing Constraints on Outputs with Unconstrained Inference. CoRR (2017)
Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. AKBC@NIPS (2017)
Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick
Query-Driven Sampling for Collective Entity Resolution. IRI (2016)
Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alexander J. Smola, Guy L. Steele Jr.
Exponential Stochastic Cellular Automata for Massively Parallel Inference. AISTATS (2016)
Michael L. Wick, Pallika Kanani, Adam Craig Pocock
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching. AAAI (2016)
Farahnaz Ahmed Wick, Michael L. Wick, Marc Pomplun
Filling in the details: Perceiving from low fidelity images. CoRR (2016)
Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick
Query-Driven Sampling for Collective Entity Resolution. CoRR (2015)
Michael L. Wick, Sameer Singh, Harshal Pandya, Andrew McCallum
A joint model for discovering and linking entities. AKBC@CIKM (2013)
Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum
Assessing confidence of knowledge base content with an experimental study in entity resolution. AKBC@CIKM (2013)
Sameer Singh, Michael L. Wick, Andrew McCallum
Monte Carlo MCMC: Efficient Inference by Sampling Factors. AKBC-WEKEX@NAACL-HLT (2012)
Sameer Singh, Michael L. Wick, Andrew McCallum
Monte Carlo MCMC: Efficient Inference by Approximate Sampling. EMNLP-CoNLL (2012)
Michael L. Wick, Sameer Singh, Andrew McCallum
A Discriminative Hierarchical Model for Fast Coreference at Large Scale. ACL (1) (2012)
Michael L. Wick, Karl Schultz, Andrew McCallum
Human-Machine Cooperation: Supporting User Corrections to Automatically Constructed KBs. AKBC-WEKEX@NAACL-HLT (2012)
Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum
SampleRank: Training Factor Graphs with Atomic Gradients. ICML (2011)
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein, Michael L. Wick
Hybrid in-database inference for declarative information extraction. SIGMOD Conference (2011)
Michael L. Wick, Andrew McCallum
Query-Aware MCMC. NIPS (2011)
Michael L. Wick, Andrew McCallum, Gerome Miklau
Scalable Probabilistic Databases with Factor Graphs and MCMC. Proc. VLDB Endow. 3 (1) (2010)
Sameer Singh, Michael L. Wick, Andrew McCallum
Distantly Labeling Data for Large Scale Cross-Document Coreference CoRR (2010)
Michael L. Wick, Andrew McCallum, Gerome Miklau
Scalable Probabilistic Databases with Factor Graphs and MCMC CoRR (2010)
Michael L. Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference. NIPS (2009)
Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum
An Entity Based Model for Coreference Resolution. SDM (2009)
David Day, Janet Hitzeman, Michael L. Wick, Keith Crouch, Massimo Poesio
A Corpus for Cross-Document Co-reference. LREC (2008)
Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum
A unified approach for schema matching, coreference and canonicalization. KDD (2008)
Michael L. Wick, Khashayar Rohanimanesh, Andrew McCallum, AnHai Doan
A Discriminative Approach to Ontology Mapping. NTII (2008)
Michael L. Wick, Michael G. Ross, Erik G. Learned-Miller
Context-Sensitive Error Correction: Using Topic Models to Improve OCR. ICDAR (2007)
Aron Culotta, Michael L. Wick, Robert J. Hall, Matthew Marzilli, Andrew McCallum
Canonicalization of database records using adaptive similarity measures. KDD (2007)
Aron Culotta, Michael L. Wick, Andrew McCallum
First-Order Probabilistic Models for Coreference Resolution. HLT-NAACL (2007)
Michael L. Wick, Aron Culotta, Andrew McCallum
Learning Field Compatibilities to Extract Database Records from Unstructured Text. EMNLP (2006)