Designing Moiré Patterns. - Guy Lebanon; Alfred M. Bruckstein (EMMCVPR, 2001)

Boosting and Maximum Likelihood for Exponential Models. - Guy Lebanon; John D. Lafferty (NIPS, 2001)

Cranking: Combining Rankings Using Conditional Probability Models on Permutations. - Guy Lebanon; John D. Lafferty (ICML, 2002)

Information Diffusion Kernels. - John D. Lafferty; Guy Lebanon (NIPS, 2002)

Conditional Models on the Ranking Poset. - Guy Lebanon; John D. Lafferty (NIPS, 2002)

Learning Riemannian Metrics. - Guy Lebanon (UAI, 2003)

Hyperplane margin classifiers on the multinomial manifold. - Guy Lebanon; John D. Lafferty (ICML, 2004)

An Extended Cencov-Campbell Characterization of Conditional Information Geometry. - Guy Lebanon (UAI, 2004)

Diffusion Kernels on Statistical Manifolds. - John D. Lafferty; Guy Lebanon (J. Mach. Learn. Res., 2005)

Axiomatic geometry of conditional models. - Guy Lebanon (IEEE Trans. Inf. Theory, 2005)

Isotonic Conditional Random Fields and Local Sentiment Flow. - Yi Mao; Guy Lebanon (NIPS, 2006)

Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk. - Guy Lebanon; Monica Scannapieco; Mohamed R. Fouad; Elisa Bertino (Privacy in Statistical Databases, 2006)

Sequential Document Representations and Simplicial Curves. - Guy Lebanon (UAI, 2006)

Metric Learning for Text Documents. - Guy Lebanon (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Non-parametric Modeling of Partially Ranked Data. - Guy Lebanon; Yi Mao (NIPS, 2007)

Statistical Translation, Heat Kernels and Expected Distances. - Joshua V. Dillon; Yi Mao; Guy Lebanon; Jian Zhang 003 (UAI, 2007)

The Locally Weighted Bag of Words Framework for Document Representation. - Guy Lebanon; Yi Mao; Joshua V. Dillon (J. Mach. Learn. Res., 2007)

Sequential Document Visualization. - Yi Mao; Joshua V. Dillon; Guy Lebanon (IEEE Trans. Vis. Comput. Graph., 2007)

Local likelihood modeling of temporal text streams. - Guy Lebanon; Yang Zhao (ICML, 2008)

Determining Placement of Intrusion Detectors for a Distributed Application through Bayesian Network Modeling. - Gaspar Modelo-Howard; Saurabh Bagchi; Guy Lebanon (RAID, 2008)

ARUBA: A Risk-Utility-Based Algorithm for Data Disclosure. - Mohamed R. Fouad; Guy Lebanon; Elisa Bertino (Secure Data Management, 2008)

Visualizing Incomplete and Partially Ranked Data. - Paul Kidwell; Guy Lebanon; William S. Cleveland (IEEE Trans. Vis. Comput. Graph., 2008)

Statistical Estimation of Word Acquisition with Application to Readability Prediction. - Paul Kidwell; Guy Lebanon; Kevyn Collins-Thompson (EMNLP, 2009)

Domain Knowledge Uncertainty and Probabilistic Parameter Constraints. - Yi Mao; Guy Lebanon (UAI, 2009)

Data transformations and representations for computation and visualization. - David J. Kasik; David S. Ebert; Guy Lebanon; Haesun Park; William M. Pottenger (Inf. Vis., 2009)

Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. - Joshua V. Dillon; Guy Lebanon (AISTATS, 2009)

Generalized isotonic conditional random fields. - Yi Mao; Guy Lebanon (Mach. Learn., 2009)

Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk. - Guy Lebanon; Monica Scannapieco; Mohamed R. Fouad; Elisa Bertino (Trans. Data Priv., 2009)

Local Space-Time Smoothing for Version Controlled Documents. - Seungyeon Kim 001; Guy Lebanon (COLING (Posters), 2010)

Dimensionality Reduction for Text using Domain Knowledge. - Yi Mao; Krishnakumar Balasubramanian 002; Guy Lebanon (COLING (Posters), 2010)

Asymptotic Analysis of Generative Semi-Supervised Learning. - Joshua V. Dillon; Krishnakumar Balasubramanian 002; Guy Lebanon (ICML, 2010)

Visualizing differences in web search algorithms using the expected weighted hoeffding distance. - Mingxuan Sun; Guy Lebanon; Kevyn Collins-Thompson (WWW, 2010)

Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels - Pinar Donmez; Krishnakumar Balasubramanian 002; Guy Lebanon (CoRR, 2010)

Linguistic Geometries for Unsupervised Dimensionality Reduction - Yi Mao; Krishnakumar Balasubramanian 002; Guy Lebanon (CoRR, 2010)

Local Space-Time Smoothing for Versioned Documents - Seungyeon Kim 001; Guy Lebanon (CoRR, 2010)

Stochastic Composite Likelihood. - Joshua V. Dillon; Guy Lebanon (J. Mach. Learn. Res., 2010)

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. - Pinar Donmez; Guy Lebanon; Krishnakumar Balasubramanian 002 (J. Mach. Learn. Res., 2010)

Unsupervised Supervised Learning II: Margin-Based Classification without Labels. - Krishnakumar Balasubramanian 002; Pinar Donmez; Guy Lebanon (AISTATS, 2011)

Estimating Probabilities in Recommendation Systems. - Mingxuan Sun; Guy Lebanon; Paul Kidwell (AISTATS, 2011)

Chebyshev approximations to the histogram χ2 kernel. - Fuxin Li; Guy Lebanon; Cristian Sminchisescu (CVPR, 2012)

The Landmark Selection Method for Multiple Output Prediction. - Krishnakumar Balasubramanian 002; Guy Lebanon (ICML, 2012)

Fast bregman divergence NMF using taylor expansion and coordinate descent. - Liangda Li; Guy Lebanon; Haesun Park (KDD, 2012)

Automatic Feature Induction for Stagewise Collaborative Filtering. - Joonseok Lee; Mingxuan Sun; Seungyeon Kim 001; Guy Lebanon (NIPS, 2012)

A Comparative Study of Collaborative Filtering Algorithms - Joonseok Lee; Mingxuan Sun; Guy Lebanon (CoRR, 2012)

Cumulative Revision Map - Seungyeon Kim 001; Joshua V. Dillon; Guy Lebanon (CoRR, 2012)

PREA: personalized recommendation algorithms toolkit. - Joonseok Lee; Mingxuan Sun; Guy Lebanon (J. Mach. Learn. Res., 2012)

Ultrahigh Dimensional Feature Screening via RKHS Embeddings. - Krishnakumar Balasubramanian 002; Bharath K. Sriperumbudur; Guy Lebanon (AISTATS, 2013)

Beyond Sentiment: The Manifold of Human Emotions. - Seungyeon Kim 001; Fuxin Li; Guy Lebanon; Irfan A. Essa (AISTATS, 2013)

Composite Statistical Inference for Semantic Segmentation. - Fuxin Li; João Carreira 002; Guy Lebanon; Cristian Sminchisescu (CVPR, 2013)

Local Low-Rank Matrix Approximation. - Joonseok Lee; Seungyeon Kim 001; Guy Lebanon; Yoram Singer (ICML (2), 2013)

Keynote address: Visualizing and modeling ranked data. - Guy Lebanon (LDAV, 2013)

A Comparative Study of Social Media and Traditional Polling in the Egyptian Uprising of 2011. - Lora Weiss; Erica Briscoe; Heather Hayes; Olga Kemenova; Sim Harbert; Fuxin Li; Guy Lebanon; Chris Stewart; Darby Miller Steiger; Dan Foy (SBP, 2013)

Learning multiple-question decision trees for cold-start recommendation. - Mingxuan Sun; Fuxin Li; Joonseok Lee; Ke Zhou 002; Guy Lebanon; Hongyuan Zha (WSDM, 2013)

Matrix Approximation under Local Low-Rank Assumption - Joonseok Lee; Seungyeon Kim 001; Guy Lebanon; Yoram Singer (ICLR (Workshop Poster), 2013)

The Manifold of Human Emotions - Seungyeon Kim 001; Fuxin Li; Guy Lebanon; Irfan A. Essa (ICLR (Workshop Poster), 2013)

Preface: Intelligent interactive data visualization. - Barbara Hammer; Daniel A. Keim; Neil D. Lawrence; Guy Lebanon (Data Min. Knowl. Discov., 2013)

Local collaborative ranking. - Joonseok Lee; Samy Bengio; Seungyeon Kim 001; Guy Lebanon; Yoram Singer (WWW, 2014)

Fast Spammer Detection Using Structural Rank. - Seungyeon Kim 001; Haesun Park; Guy Lebanon (CoRR, 2014)

Estimating Temporal Dynamics of Human Emotions. - Seungyeon Kim 001; Joonseok Lee; Guy Lebanon; Haesun Park (AAAI, 2015)

Local Context Sparse Coding. - Seungyeon Kim 001; Joonseok Lee; Guy Lebanon; Haesun Park (AAAI, 2015)

Preface. - Guy Lebanon; S. V. N. Vishwanathan (AISTATS, 2015)

Personalizing LinkedIn Feed. - Deepak Agarwal; Bee-Chung Chen; Qi He 002; Zhenhao Hua; Guy Lebanon; Yiming Ma; Pannagadatta Shivaswamy; Hsiao-Ping Tseng; Jaewon Yang; Liang Zhang 021 (KDD, 2015)

Smooth sparse coding via marginal regression for learning sparse representations. - Krishnakumar Balasubramanian 002; Kai Yu 001; Guy Lebanon (Artif. Intell., 2016)

LLORMA: Local Low-Rank Matrix Approximation. - Joonseok Lee; Seungyeon Kim 001; Guy Lebanon; Yoram Singer; Samy Bengio (J. Mach. Learn. Res., 2016)

Computing with Data - An Introduction to the Data Industry - Guy Lebanon; Mohamed El-Geish (Springer, 2018)