| 2019 | ACSSC | A Modified Logistic Regression for Positive and Unlabeled Learning. | Kristen Jaskie, Charles Elkan, Andreas Spanias |
| 2018 | NAACL | What we need to learn if we want to do and not just talk. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan |
| 2014 | SIGdial | Learning to Re-rank for Interactive Problem Resolution and Query Refinement. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan |
| 2012 | ICML | Predicting accurate probabilities with a ranking loss. | Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado |
| 2010 | ACL | Conditional Random Fields for Word Hyphenation. | Nikolaos Trogkanis, Charles Elkan |
| 2010 | ICDM | A Log-Linear Model with Latent Features for Dyadic Prediction. | Aditya Krishna Menon, Charles Elkan |
| 2009 | ICML | Accounting for burstiness in topic models. | Gabriel Doyle, Charles Elkan |
| 2008 | CIKM | Learning a two-stage SVM/CRF sequence classifier. | Guilherme Hoefel, Charles Elkan |
| 2008 | KDD | Learning classifiers from only positive and unlabeled data. | Charles Elkan, Keith Noto |
| 2007 | KDD | Making generative classifiers robust to selection bias. | Andrew T. Smith, Charles Elkan |
| 2006 | ICML | Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution. | Charles Elkan |
| 2005 | ICML | Modeling word burstiness using the Dirichlet distribution. | Rasmus Elsborg Madsen, David Kauchak, Charles Elkan |
| 2005 | SPIRE | Deriving TF-IDF as a Fisher Kernel. | Charles Elkan |
| 2004 | KDD | A Bayesian network framework for reject inference. | Andrew T. Smith, Charles Elkan |
| 2003 | ICML | Using the Triangle Inequality to Accelerate k-Means. | Charles Elkan |
| 2003 | ICML | Principled Methods for Advising Reinforcement Learning Agents. | Eric Wiewiora, Garrison W. Cottrell, Charles Elkan |
| 2002 | CIKM | Alternatives to the k-means algorithm that find better clusterings. | Greg Hamerly, Charles Elkan |
| 2002 | KDD | Transforming classifier scores into accurate multiclass probability estimates. | Bianca Zadrozny, Charles Elkan |
| 2001 | ICML | Bayesian approaches to failure prediction for disk drives. | Greg Hamerly, Charles Elkan |
| 2001 | ICML | Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. | Bianca Zadrozny, Charles Elkan |
| 2001 | IJCAI | The Foundations of Cost-Sensitive Learning. | Charles Elkan |
| 2001 | KDD | Magical thinking in data mining: lessons from CoIL challenge 2000. | Charles Elkan |
| 2001 | KDD | Shared challenges in data mining and computational biology (abstract of invited talk). | Charles Elkan |
| 2001 | KDD | Learning and making decisions when costs and probabilities are both unknown. | Bianca Zadrozny, Charles Elkan |
| 1996 | AI | LPMEME: A Statistical Method for Inductive Logic Programming. | Karan Bhatia, Charles Elkan |
| 1996 | AI | Reasoning about Unknown, Counterfactual, and Nondeterministic Actions in First-Order Logic. | Charles Elkan |
| 1996 | KDD | The Field Matching Problem: Algorithms and Applications. | Alvaro E. Monge, Charles Elkan |
| 1995 | ISMB | The Value of Prior Knowledge in Discovering Motifs with MEME. | Timothy L. Bailey, Charles Elkan |
| 1994 | ISMB | Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer. | Timothy L. Bailey, Charles Elkan |
| 1993 | AAAI | The Paradoxical Success of Fuzzy Logic. | Charles Elkan |
| 1993 | IJCAI | Estimating the Accuracy of Learned Concepts. | Timothy L. Bailey, Charles Elkan |
| 1991 | IJCAI | Measuring and Improving the Effectiveness of Representations. | Russell Greiner, Charles Elkan |
| 1990 | AAAI | Incremental, Approximate Planning. | Charles Elkan |
| 1990 | PODS | Independence of Logic Database Queries and Updates. | Charles Elkan |
| 1989 | IJCAI | Conspiracy Numbers and Caching for Searching And/Or Trees and Theorem-Proving. | Charles Elkan |
| 1989 | MFCS | Logical Characterizations of Nonmonotonic TMSs. | Charles Elkan |
| 1989 | PODS | A Decision Procedure for Conjunctive Query Disjointness. | Charles Elkan |
| 1988 | ICLP | Automated Inductive Reasoning about Logic Programs. | Charles Elkan, David A. McAllester |