John D. Lafferty

Orcid: 0000-0002-5929-220X

Affiliations:
  • Yale University
  • University of Chicago
  • Carnegie Mellon University, Pittsburgh, USA


According to our database1, John D. Lafferty authored at least 117 papers between 1990 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2007, "For contributions to statistical pattern recognition and statistical language processing".

Timeline

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Bibliography

2024
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures.
CoRR, 2024

Approximation of relation functions and attention mechanisms.
CoRR, 2024

Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Relational Convolutional Networks: A framework for learning representations of hierarchical relations.
CoRR, 2023

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction.
CoRR, 2023

Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning.
CoRR, 2023

From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces.
CoRR, 2023

2022
Emergent organization of receptive fields in networks of excitatory and inhibitory neurons.
CoRR, 2022

2021
Convergence and Alignment of Gradient Descentwith Random Back propagation Weights.
CoRR, 2021

Convergence and Alignment of Gradient Descent with Random Backpropagation Weights.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Fair quantile regression.
CoRR, 2019

Surfing: Iterative Optimization Over Incrementally Trained Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Denoising Flows on Trees.
IEEE Trans. Inf. Theory, 2018

Distributed Nonparametric Regression under Communication Constraints.
Proceedings of the 35th International Conference on Machine Learning, 2018

Prediction Rule Reshaping.
Proceedings of the 35th International Conference on Machine Learning, 2018

CALOREE: Learning Control for Predictable Latency and Low Energy.
Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

2017
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval.
SIGIR Forum, 2017

Document Language Models, Query Models, and Risk Minimization for Information Retrieval.
SIGIR Forum, 2017

Information Retrieval as Statistical Translation.
SIGIR Forum, 2017

Testing for Global Network Structure Using Small Subgraph Statistics.
CoRR, 2017

Testing Network Structure Using Relations Between Small Subgraph Probabilities.
CoRR, 2017

ESP: A Machine Learning Approach to Predicting Application Interference.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

2016
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent.
CoRR, 2016

Selective inference for group-sparse linear models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Local Minimax Complexity of Stochastic Convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval.
SIGIR Forum, 2015

A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints.
Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, 2015

2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Blossom Tree Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Mismatched estimation and relative entropy in vector Gaussian channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Computation-Risk Tradeoffs for Covariance-Thresholded Regression.
Proceedings of the 30th International Conference on Machine Learning, 2013

The Bigraphical Lasso.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
The huge Package for High-dimensional Undirected Graph Estimation in R.
J. Mach. Learn. Res., 2012

Sparse Nonparametric Graphical Models
CoRR, 2012

The Nonparanormal SKEPTIC.
CoRR, 2012

Exponential Concentration for Mutual Information Estimation with Application to Forests.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Nonparametric Reduced Rank Regression.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Conditional Sparse Coding and Grouped Multivariate Regression.
Proceedings of the 29th International Conference on Machine Learning, 2012

High Dimensional Semiparametric Gaussian Copula Graphical Models.
Proceedings of the 29th International Conference on Machine Learning, 2012

Sequential Nonparametric Regression.
Proceedings of the 29th International Conference on Machine Learning, 2012

Sparse Additive Functional and Kernel CCA.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Forest Density Estimation.
J. Mach. Learn. Res., 2011

Union Support Recovery in Multi-task Learning.
J. Mach. Learn. Res., 2011

Learning image representations from the pixel level via hierarchical sparse coding.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Time varying undirected graphs.
Mach. Learn., 2010

Graph-Valued Regression.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Forest Density Estimation.
Proceedings of the COLT 2010, 2010

2009
Compressed and Privacy-Sensitive Sparse Regression.
IEEE Trans. Inf. Theory, 2009

The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs.
J. Mach. Learn. Res., 2009

Fast nonparametric matrix factorization for large-scale collaborative filtering.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Large-scale collaborative prediction using a nonparametric random effects model.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Nonparametric regression and classification with joint sparsity constraints.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Compressed Regression.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

SpAM: Sparse Additive Models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Statistical Analysis of Semi-Supervised Regression.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Multiscale topic tomography.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Feature selection in conditional random fields for activity recognition.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Signal Decomposition using Multiscale Admixture Models.
Proceedings of the IEEE International Conference on Acoustics, 2007

Conditional random fields for activity recognition.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Computationally Efficient M-Estimation of Log-Linear Structure Models.
Proceedings of the ACL 2007, 2007

2006
A risk minimization framework for information retrieval.
Inf. Process. Manag., 2006

High-Dimensional Graphical Model Selection Using ℓ<sub>1</sub>-Regularized Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Quadratic programming relaxations for metric labeling and Markov random field MAP estimation.
Proceedings of the Machine Learning, 2006

Dynamic topic models.
Proceedings of the Machine Learning, 2006

Graph Kernels by Spectral Transforms.
Proceedings of the Semi-Supervised Learning, 2006

2005
Diffusion Kernels on Statistical Manifolds.
J. Mach. Learn. Res., 2005

Preconditioner Approximations for Probabilistic Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Rodeo: Sparse Nonparametric Regression in High Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Correlated Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning.
Proceedings of the Machine Learning, 2005

2004
A study of smoothing methods for language models applied to information retrieval.
ACM Trans. Inf. Syst., 2004

Variational Chernoff Bounds for Graphical Models.
Proceedings of the UAI '04, 2004

Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Hyperplane margin classifiers on the multinomial manifold.
Proceedings of the Machine Learning, 2004

Kernel conditional random fields: representation and clique selection.
Proceedings of the Machine Learning, 2004

Semi-supervised learning using randomized mincuts.
Proceedings of the Machine Learning, 2004

2003
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002.
SIGIR Forum, 2003

Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions.
Proceedings of the Machine Learning, 2003

2002
Expectation-Propogation for the Generative Aspect Model.
Proceedings of the UAI '02, 2002

Two-stage language models for information retrieval.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Conditional Models on the Ranking Poset.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Information Diffusion Kernels.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Cranking: Combining Rankings Using Conditional Probability Models on Permutations.
Proceedings of the Machine Learning, 2002

Diffusion Kernels on Graphs and Other Discrete Input Spaces.
Proceedings of the Machine Learning, 2002

Combining Simple Discriminators for Object Discrimination.
Proceedings of the Computer Vision, 2002

2001
Workshop on language modeling and information retrieval.
SIGIR Forum, 2001

Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Boosting and Maximum Likelihood for Exponential Models.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Model-based Feedback in the Language Modeling Approach to Information Retrieval.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

1999
Ordered Binary Decision Diagrams and Minimal Trellises.
IEEE Trans. Computers, 1999

Statistical Models for Text Segmentation.
Mach. Learn., 1999

The Weaver System for Document Retrieval.
Proceedings of The Eighth Text REtrieval Conference, 1999

Additive Models, Boosting, and Inference for Generalized Divergences.
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

1998
Cyberpunc: a lightweight punctuation annotation system for speech.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Inducing Features of Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Spectral Techniques for Expander Codes.
Proceedings of the Twenty-Ninth Annual ACM Symposium on the Theory of Computing, 1997

Text Segmentation Using Exponential Models.
Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, 1997

A Model of Lexical Attraction and Repulsion.
Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics, 1997

1996
Word clustering with parallel spoken language corpora.
Proceedings of the 4th International Conference on Spoken Language Processing, 1996

Cheating with imperfect transcripts.
Proceedings of the 4th International Conference on Spoken Language Processing, 1996

1995
Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models
CoRR, 1995

A Robust Parsing Algorithm for Link Grammars.
Proceedings of the Fourth International Workshop on Parsing Technologies, 1995

1994
Decision Tree Parsing using a Hidden Derivation Model.
Proceedings of the Human Language Technology, 1994

The Candide System for Machine Translation.
Proceedings of the Human Language Technology, 1994

Inference and Estimation of a Long-Range Trigram Model.
Proceedings of the Grammatical Inference and Applications, Second International Colloquium, 1994

1992
Fast Fourier Analysis for SL<sub>2</sub> over a Finite Field and Related Numerical Experiments.
Exp. Math., 1992

Decision Tree Models Applied to the Labeling of Text with Parts-of-Speech.
Proceedings of the Speech and Natural Language: Proceedings of a Workshop Held at Harriman, 1992

Towards History-based Grammars: Using Richer Models for Probabilistic Parsing.
Proceedings of the Speech and Natural Language: Proceedings of a Workshop Held at Harriman, 1992

Numerical Investigation of the Spectrum for Certain Families of Cayley Graphs.
Proceedings of the Expanding Graphs, 1992

Development and Evaluation of a Broad-Coverage Probabilistic Grammar of English-Language Computer Manuals.
Proceedings of the 30th Annual Meeting of the Association for Computational Linguistics, 28 June, 1992

1991
Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars.
Comput. Linguistics, 1991

1990
A Statistical Approach to Machine Translation.
Comput. Linguistics, 1990


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