Michael L. Wick
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
14
Active years
2006–2022
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ACL | Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models. | Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick |
| 2022 | EMNLP | Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models. | Swetasudha Panda, Ari Kobren, Michael L. Wick, Qinlan Shen |
| 2021 | ICML | Conjugate Energy-Based Models. | Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent |
| 2021 | WSDM | Online Post-Processing in Rankings for Fair Utility Maximization. | Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick |
| 2019 | AAAI | Gradient-Based Inference for Networks with Output Constraints. | Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell |
| 2019 | AISTATS | Sketching for Latent Dirichlet-Categorical Models. | Joseph Tassarotti, Jean-Baptiste Tristan, Michael L. Wick |
| 2016 | AAAI | Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching. | Michael L. Wick, Pallika Kanani, Adam Craig Pocock |
| 2016 | AISTATS | Exponential Stochastic Cellular Automata for Massively Parallel Inference. | Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alexander J. Smola, Guy L. Steele Jr. |
| 2016 | IRI | Query-Driven Sampling for Collective Entity Resolution. | Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick |
| 2013 | CIKM | Assessing confidence of knowledge base content with an experimental study in entity resolution. | Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum |
| 2013 | CIKM | A joint model for discovering and linking entities. | Michael L. Wick, Sameer Singh, Harshal Pandya, Andrew McCallum |
| 2012 | ACL | A Discriminative Hierarchical Model for Fast Coreference at Large Scale. | Michael L. Wick, Sameer Singh, Andrew McCallum |
| 2012 | EMNLP | Monte Carlo MCMC: Efficient Inference by Approximate Sampling. | Sameer Singh, Michael L. Wick, Andrew McCallum |
| 2012 | NAACL | Monte Carlo MCMC: Efficient Inference by Sampling Factors. | Sameer Singh, Michael L. Wick, Andrew McCallum |
| 2012 | NAACL | Human-Machine Cooperation: Supporting User Corrections to Automatically Constructed KBs. | Michael L. Wick, Karl Schultz, Andrew McCallum |
| 2011 | ICML | SampleRank: Training Factor Graphs with Atomic Gradients. | Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum |
| 2011 | SIGMOD | Hybrid in-database inference for declarative information extraction. | Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein, Michael L. Wick |
| 2009 | SDM | An Entity Based Model for Coreference Resolution. | Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum |
| 2008 | KDD | A unified approach for schema matching, coreference and canonicalization. | Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum |
| 2008 | LREC | A Corpus for Cross-Document Co-reference. | David Day, Janet Hitzeman, Michael L. Wick, Keith Crouch, Massimo Poesio |
| 2007 | ICDAR | Context-Sensitive Error Correction: Using Topic Models to Improve OCR. | Michael L. Wick, Michael G. Ross, Erik G. Learned-Miller |
| 2007 | KDD | Canonicalization of database records using adaptive similarity measures. | Aron Culotta, Michael L. Wick, Robert J. Hall, Matthew Marzilli, Andrew McCallum |
| 2007 | NAACL | First-Order Probabilistic Models for Coreference Resolution. | Aron Culotta, Michael L. Wick, Andrew McCallum |
| 2006 | EMNLP | Learning Field Compatibilities to Extract Database Records from Unstructured Text. | Michael L. Wick, Aron Culotta, Andrew McCallum |