Michael Collins
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Machine Learning and Algorithms, Algorithms and Data Compression, Bayesian Modeling and Causal Inference
Most-Cited Works
- → Logistic Regression, AdaBoost and Bregman Distances(2002)686 cited
- → New ranking algorithms for parsing and tagging(2001)505 cited
- Online Learning of Relaxed CCG Grammars for Parsing to Logical Form(2007)
- A Generalization of Principal Components Analysis to the Exponential Family(2001)
- → Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks(2008)141 cited
- Structured Prediction Models via the Matrix-Tree Theorem(2007)
- → Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods(2004)95 cited
- Exponentiated Gradient Algorithms for Large-margin Structured Classification(2004)
- Experiments with Spectral Learning of Latent-Variable PCFGs(2013)
- → Case-factor diagrams for structured probabilistic modeling(2004)53 cited