Guy Lebanon

Publication Activity (10 Years)

Years Active: 2001-2016
Publications (10 Years): 2

Top Topics

Comparative Study

Top Venues

ICLR (Workshop Poster)

Publications

Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
Smooth sparse coding via marginal regression for learning sparse representations. Artif. Intell. 238 (2016)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio
LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. 17 (2016)
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
Estimating Temporal Dynamics of Human Emotions. AAAI (2015)
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
Local Context Sparse Coding. AAAI (2015)
Guy Lebanon, S. V. N. Vishwanathan
Preface. AISTATS (2015)
Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang
Personalizing LinkedIn Feed. KDD (2015)
Seungyeon Kim, Haesun Park, Guy Lebanon
Fast Spammer Detection Using Structural Rank. CoRR (2014)
Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer
Local collaborative ranking. WWW (2014)
Guy Lebanon
Keynote address: Visualizing and modeling ranked data. LDAV (2013)
Lora Weiss, Erica Briscoe, Heather Hayes, Olga Kemenova, Sim Harbert, Fuxin Li, Guy Lebanon, Chris Stewart, Darby Miller Steiger, Dan Foy
A Comparative Study of Social Media and Traditional Polling in the Egyptian Uprising of 2011. SBP (2013)
Fuxin Li, João Carreira, Guy Lebanon, Cristian Sminchisescu
Composite Statistical Inference for Semantic Segmentation. CVPR (2013)
Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations. ICML (3) (2013)
Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
The Manifold of Human Emotions ICLR (Workshop Poster) (2013)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Local Low-Rank Matrix Approximation. ICML (2) (2013)
Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon
Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. 27 (1) (2013)
Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Guy Lebanon
Ultrahigh Dimensional Feature Screening via RKHS Embeddings. AISTATS (2013)
Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha
Learning multiple-question decision trees for cold-start recommendation. WSDM (2013)
Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
Beyond Sentiment: The Manifold of Human Emotions. AISTATS (2013)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Matrix Approximation under Local Low-Rank Assumption ICLR (Workshop Poster) (2013)
Joonseok Lee, Mingxuan Sun, Guy Lebanon
PREA: personalized recommendation algorithms toolkit. J. Mach. Learn. Res. 13 (2012)
Fuxin Li, Guy Lebanon, Cristian Sminchisescu
kernel. CVPR (2012)
Yi Mao, Guy Lebanon
Domain Knowledge Uncertainty and Probabilistic Parameter Constraints CoRR (2012)
Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon
Automatic Feature Induction for Stagewise Collaborative Filtering. NIPS (2012)
Seungyeon Kim, Joshua V. Dillon, Guy Lebanon
Cumulative Revision Map CoRR (2012)
Krishnakumar Balasubramanian, Guy Lebanon
The Landmark Selection Method for Multiple Output Prediction. ICML (2012)
Guy Lebanon
An Extended Cencov-Campbell Characterization of Conditional Information Geometry CoRR (2012)
Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang
Statistical Translation, Heat Kernels and Expected Distances CoRR (2012)
Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
Beyond Sentiment: The Manifold of Human Emotions CoRR (2012)
Fuxin Li, Guy Lebanon, Cristian Sminchisescu
Kernel CoRR (2012)
Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations CoRR (2012)
Guy Lebanon
Sequential Document Representations and Simplicial Curves. CoRR (2012)
Liangda Li, Guy Lebanon, Haesun Park
Fast bregman divergence NMF using taylor expansion and coordinate descent. KDD (2012)
Guy Lebanon
Learning Riemannian Metrics CoRR (2012)
Joonseok Lee, Mingxuan Sun, Guy Lebanon
A Comparative Study of Collaborative Filtering Algorithms CoRR (2012)
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Unsupervised Supervised Learning II: Margin-Based Classification without Labels. AISTATS (2011)
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels. J. Mach. Learn. Res. 12 (2011)
Mingxuan Sun, Guy Lebanon, Paul Kidwell
Estimating Probabilities in Recommendation Systems. AISTATS (2011)
Pinar Donmez, Krishnakumar Balasubramanian, Guy Lebanon
Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels CoRR (2010)
Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
Dimensionality Reduction for Text using Domain Knowledge. COLING (Posters) (2010)
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. J. Mach. Learn. Res. 11 (2010)
Joshua V. Dillon, Guy Lebanon
Stochastic Composite Likelihood. J. Mach. Learn. Res. 11 (2010)
Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
Linguistic Geometries for Unsupervised Dimensionality Reduction CoRR (2010)
Mingxuan Sun, Guy Lebanon, Paul Kidwell
Estimating Probabilities in Recommendation Systems CoRR (2010)
Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
Visualizing differences in web search algorithms using the expected weighted hoeffding distance. WWW (2010)
Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon
Asymptotic Analysis of Generative Semi-Supervised Learning. ICML (2010)
Seungyeon Kim, Guy Lebanon
Local Space-Time Smoothing for Version Controlled Documents. COLING (Posters) (2010)
Joshua V. Dillon, Guy Lebanon
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood CoRR (2010)
Seungyeon Kim, Guy Lebanon
Local Space-Time Smoothing for Versioned Documents CoRR (2010)
Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon
Asymptotic Analysis of Generative Semi-Supervised Learning CoRR (2010)
Joshua V. Dillon, Guy Lebanon
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. AISTATS (2009)
Yi Mao, Guy Lebanon
Generalized isotonic conditional random fields. Mach. Learn. 77 (2-3) (2009)
Yi Mao, Guy Lebanon
Domain Knowledge Uncertainty and Probabilistic Parameter Constraints. UAI (2009)
David J. Kasik, David S. Ebert, Guy Lebanon, Haesun Park, William M. Pottenger
Data transformations and representations for computation and visualization. Inf. Vis. 8 (4) (2009)
Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
Statistical Estimation of Word Acquisition with Application to Readability Prediction. EMNLP (2009)
Guy Lebanon, Monica Scannapieco, Mohamed R. Fouad, Elisa Bertino
Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk. Trans. Data Priv. 2 (3) (2009)
Mohamed R. Fouad, Guy Lebanon, Elisa Bertino
ARUBA: A Risk-Utility-Based Algorithm for Data Disclosure. Secure Data Management (2008)
Guy Lebanon, Yang Zhao
Local likelihood modeling of temporal text streams. ICML (2008)
Paul Kidwell, Guy Lebanon, William S. Cleveland
Visualizing Incomplete and Partially Ranked Data. IEEE Trans. Vis. Comput. Graph. 14 (6) (2008)
Gaspar Modelo-Howard, Saurabh Bagchi, Guy Lebanon
Determining Placement of Intrusion Detectors for a Distributed Application through Bayesian Network Modeling. RAID (2008)
Guy Lebanon, Yi Mao, Joshua V. Dillon
The Locally Weighted Bag of Words Framework for Document Representation. J. Mach. Learn. Res. 8 (2007)
Guy Lebanon, Yi Mao
Non-parametric Modeling of Partially Ranked Data. NIPS (2007)
Yi Mao, Joshua V. Dillon, Guy Lebanon
Sequential Document Visualization. IEEE Trans. Vis. Comput. Graph. 13 (6) (2007)
Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang
Statistical Translation, Heat Kernels and Expected Distances. UAI (2007)
Yi Mao, Guy Lebanon
Isotonic Conditional Random Fields and Local Sentiment Flow. NIPS (2006)
Guy Lebanon, Monica Scannapieco, Mohamed R. Fouad, Elisa Bertino
-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk. Privacy in Statistical Databases (2006)
Guy Lebanon
Sequential Document Representations and Simplicial Curves. UAI (2006)
Guy Lebanon
Metric Learning for Text Documents. IEEE Trans. Pattern Anal. Mach. Intell. 28 (4) (2006)
John D. Lafferty, Guy Lebanon
Diffusion Kernels on Statistical Manifolds. J. Mach. Learn. Res. 6 (2005)
Guy Lebanon
Axiomatic geometry of conditional models. IEEE Trans. Inf. Theory 51 (4) (2005)
Guy Lebanon, John D. Lafferty
Hyperplane margin classifiers on the multinomial manifold. ICML (2004)
Guy Lebanon
An Extended Cencov-Campbell Characterization of Conditional Information Geometry. UAI (2004)
Guy Lebanon
Learning Riemannian Metrics. UAI (2003)
John D. Lafferty, Guy Lebanon
Information Diffusion Kernels. NIPS (2002)
Guy Lebanon, John D. Lafferty
Cranking: Combining Rankings Using Conditional Probability Models on Permutations. ICML (2002)
Guy Lebanon, John D. Lafferty
Conditional Models on the Ranking Poset. NIPS (2002)
Guy Lebanon, Alfred M. Bruckstein
Designing Moiré Patterns. EMMCVPR (2001)
Guy Lebanon, John D. Lafferty
Boosting and Maximum Likelihood for Exponential Models. NIPS (2001)