| 2015 | AAAI | Estimating Temporal Dynamics of Human Emotions. | Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park |
| 2015 | AAAI | Local Context Sparse Coding. | Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park |
| 2015 | AISTATS | Preface. | Guy Lebanon, S. V. N. Vishwanathan |
| 2015 | KDD | Personalizing LinkedIn Feed. | Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang |
| 2014 | WWW | Local collaborative ranking. | Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer |
| 2013 | AISTATS | Ultrahigh Dimensional Feature Screening via RKHS Embeddings. | Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Guy Lebanon |
| 2013 | AISTATS | Beyond Sentiment: The Manifold of Human Emotions. | Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa |
| 2013 | CVPR | Composite Statistical Inference for Semantic Segmentation. | Fuxin Li, Joo Carreira, Guy Lebanon, Cristian Sminchisescu |
| 2013 | ICML | Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations. | Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon |
| 2013 | ICML | Local Low-Rank Matrix Approximation. | Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer |
| 2013 | WSDM | Learning multiple-question decision trees for cold-start recommendation. | Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha |
| 2012 | CVPR | Chebyshev approximations to the histogram χ | Fuxin Li, Guy Lebanon, Cristian Sminchisescu |
| 2012 | ICML | The Landmark Selection Method for Multiple Output Prediction. | Krishnakumar Balasubramanian, Guy Lebanon |
| 2012 | KDD | Fast bregman divergence NMF using taylor expansion and coordinate descent. | Liangda Li, Guy Lebanon, Haesun Park |
| 2010 | COLING | Local Space-Time Smoothing for Version Controlled Documents. | Seungyeon Kim, Guy Lebanon |
| 2010 | COLING | Dimensionality Reduction for Text using Domain Knowledge. | Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon |
| 2010 | ICML | Asymptotic Analysis of Generative Semi-Supervised Learning. | Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon |
| 2010 | WWW | Visualizing differences in web search algorithms using the expected weighted hoeffding distance. | Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson |
| 2009 | EMNLP | Statistical Estimation of Word Acquisition with Application to Readability Prediction. | Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson |
| 2009 | UAI | Domain Knowledge Uncertainty and Probabilistic Parameter Constraints. | Yi Mao, Guy Lebanon |
| 2008 | ICML | Local likelihood modeling of temporal text streams. | Guy Lebanon, Yang Zhao |
| 2008 | RAID | Determining Placement of Intrusion Detectors for a Distributed Application through Bayesian Network Modeling. | Gaspar Modelo-Howard, Saurabh Bagchi, Guy Lebanon |
| 2007 | UAI | Statistical Translation, Heat Kernels and Expected Distances. | Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang |
| 2006 | PSD | Beyond | Guy Lebanon, Monica Scannapieco, Mohamed R. Fouad, Elisa Bertino |
| 2006 | UAI | Sequential Document Representations and Simplicial Curves. | Guy Lebanon |
| 2004 | ICML | Hyperplane margin classifiers on the multinomial manifold. | Guy Lebanon, John D. Lafferty |
| 2004 | UAI | An Extended Cencov-Campbell Characterization of Conditional Information Geometry. | Guy Lebanon |
| 2003 | UAI | Learning Riemannian Metrics. | Guy Lebanon |
| 2002 | ICML | Cranking: Combining Rankings Using Conditional Probability Models on Permutations. | Guy Lebanon, John D. Lafferty |