Michael L. Wick

41 papers A* 8A 5B 1Misc 1Journal 11Unranked 15

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