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