Lafferty, John

21 publications

NeurIPS 2025 CoT Information: Improved Sample Complexity Under Chain-of-Thought Supervision Awni Altabaa, Omar Montasser, John Lafferty

ICML 2025 Disentangling and Integrating Relational and Sensory Information in Transformer Architectures Awni Altabaa, John Lafferty

NeurIPS 2025 Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination Ilias Diakonikolas, Chao Gao, Daniel Kane, John Lafferty, Ankit Pensia

ICLR 2024 Abstractors and Relational Cross-Attention: An Inductive Bias for Explicit Relational Reasoning in Transformers Awni Altabaa, Taylor Whittington Webb, Jonathan D. Cohen, John Lafferty

TMLR 2024 Learning Hierarchical Relational Representations Through Relational Convolutions Awni Altabaa, John Lafferty

NeurIPS 2019 Surfing: Iterative Optimization over Incrementally Trained Deep Networks Ganlin Song, Zhou Fan, John Lafferty

ICML 2018 Distributed Nonparametric Regression Under Communication Constraints Yuancheng Zhu, John Lafferty

ICML 2018 Prediction Rule Reshaping Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty

NeurIPS 2016 Local Minimax Complexity of Stochastic Convex Optimization Sabyasachi Chatterjee, John C. Duchi, John Lafferty, Yuancheng Zhu

NeurIPS 2016 Selective Inference for Group-Sparse Linear Models Fan Yang, Rina Foygel Barber, Prateek Jain, John Lafferty

NeurIPS 2015 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements Qinqing Zheng, John Lafferty

NeurIPS 2014 Blossom Tree Graphical Models Zhe Liu, John Lafferty

NeurIPS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls Yuancheng Zhu, John Lafferty

ICML 2013 Computation-Risk Tradeoffs for Covariance-Thresholded Regression Dinah Shender, John Lafferty

ICML 2013 The Bigraphical Lasso Alfredo Kalaitzis, John Lafferty, Neil D. Lawrence, Shuheng Zhou

MLOSS 2012 The Huge Package for High-Dimensional Undirected Graph Estimation in R Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman

JMLR 2011 Forest Density Estimation Han Liu, Min Xu, Haijie Gu, Anupam Gupta, John Lafferty, Larry Wasserman

JMLR 2011 Union Support Recovery in Multi-Task Learning Mladen Kolar, John Lafferty, Larry Wasserman

JMLR 2009 The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs Han Liu, John Lafferty, Larry Wasserman

AISTATS 2007 Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo Han Liu, John Lafferty, Larry Wasserman

JMLR 2005 Diffusion Kernels on Statistical Manifolds John Lafferty, Guy Lebanon