Guy Lebanon - RankMe

81 papers A* 14A 15C 1Journal 34Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems. CoRR Mertcan Cokbas, Ziteng Liu, Zeyi Tao, Elder Veliz, Qin Huang, Ellie Wen, Huayu Li, Qiang Jin, Murat Duman, Benjamin Au, Guy Lebanon, Sagar Chordia, Chengkai Zhang
2018	—	`book`	Computing with Data - An Introduction to the Data Industry Guy Lebanon, Mohamed El-Geish
2016	J	`jnl`	LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio
2016	J	`jnl`	Smooth sparse coding via marginal regression for learning sparse representations. Artif. Intell. Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
2015	A*	`conf`	Estimating Temporal Dynamics of Human Emotions. AAAI Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015	A*	`conf`	Local Context Sparse Coding. AAAI Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015	A*	`conf`	Personalizing LinkedIn Feed. KDD Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang
2015	A	`conf`	Preface. AISTATS Guy Lebanon, S. V. N. Vishwanathan
2015	A	`ed.`	Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 AISTATS Guy Lebanon, S. V. N. Vishwanathan
2014	J	`jnl`	Fast Spammer Detection Using Structural Rank. CoRR Seungyeon Kim, Haesun Park, Guy Lebanon
2014	A*	`conf`	Local collaborative ranking. WWW Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013	—	`conf`	A Comparative Study of Social Media and Traditional Polling in the Egyptian Uprising of 2011. SBP Lora Weiss, Erica Briscoe, Heather Hayes, Olga Kemenova, Sim Harbert, Fuxin Li, Guy Lebanon, Chris Stewart, Darby Miller Steiger, Dan Foy
2013	A	`conf`	Beyond Sentiment: The Manifold of Human Emotions. AISTATS Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
2013	A*	`conf`	Composite Statistical Inference for Semantic Segmentation. CVPR Fuxin Li, João Carreira, Guy Lebanon, Cristian Sminchisescu
2013	—	`conf`	Keynote address: Visualizing and modeling ranked data. LDAV Guy Lebanon
2013	A	`conf`	Learning multiple-question decision trees for cold-start recommendation. WSDM Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha
2013	—	`conf`	Local Low-Rank Matrix Approximation. ICML (2) Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013	—	`conf`	Matrix Approximation under Local Low-Rank Assumption ICLR (Workshop Poster) Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013	J	`jnl`	Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon
2013	—	`conf`	Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations. ICML (3) Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
2013	—	`conf`	The Manifold of Human Emotions ICLR (Workshop Poster) Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
2013	A	`conf`	Ultrahigh Dimensional Feature Screening via RKHS Embeddings. AISTATS Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Guy Lebanon
2012	A	`ed.`	21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012 CIKM Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki
2012	J	`jnl`	A Comparative Study of Collaborative Filtering Algorithms CoRR Joonseok Lee, Mingxuan Sun, Guy Lebanon
2012	J	`jnl`	An Extended Cencov-Campbell Characterization of Conditional Information Geometry CoRR Guy Lebanon
2012	—	`conf`	Automatic Feature Induction for Stagewise Collaborative Filtering. NIPS Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon
2012	J	`jnl`	Beyond Sentiment: The Manifold of Human Emotions CoRR Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
2012	J	`jnl`	Chebyshev Approximations to the Histogram χ CoRR Fuxin Li, Guy Lebanon, Cristian Sminchisescu
2012	A*	`conf`	Chebyshev approximations to the histogram χ CVPR Fuxin Li, Guy Lebanon, Cristian Sminchisescu
2012	J	`jnl`	Cumulative Revision Map CoRR Seungyeon Kim, Joshua V. Dillon, Guy Lebanon
2012	J	`jnl`	Domain Knowledge Uncertainty and Probabilistic Parameter Constraints CoRR Yi Mao, Guy Lebanon
2012	A*	`conf`	Fast bregman divergence NMF using taylor expansion and coordinate descent. KDD Liangda Li, Guy Lebanon, Haesun Park
2012	J	`jnl`	Learning Riemannian Metrics CoRR Guy Lebanon
2012	J	`jnl`	PREA: personalized recommendation algorithms toolkit. J. Mach. Learn. Res. Joonseok Lee, Mingxuan Sun, Guy Lebanon
2012	J	`jnl`	Sequential Document Representations and Simplicial Curves. CoRR Guy Lebanon
2012	J	`jnl`	Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations CoRR Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
2012	J	`jnl`	Statistical Translation, Heat Kernels and Expected Distances CoRR Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang
2012	A*	`conf`	The Landmark Selection Method for Multiple Output Prediction. ICML Krishnakumar Balasubramanian, Guy Lebanon
2011	A	`conf`	Estimating Probabilities in Recommendation Systems. AISTATS Mingxuan Sun, Guy Lebanon, Paul Kidwell
2011	J	`jnl`	Unsupervised Supervised Learning II: Margin-Based Classification Without Labels. J. Mach. Learn. Res. Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
2011	A	`conf`	Unsupervised Supervised Learning II: Margin-Based Classification without Labels. AISTATS Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
2010	J	`jnl`	Asymptotic Analysis of Generative Semi-Supervised Learning CoRR Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon
2010	A*	`conf`	Asymptotic Analysis of Generative Semi-Supervised Learning. ICML Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon
2010	—	`conf`	Dimensionality Reduction for Text using Domain Knowledge. COLING (Posters) Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
2010	J	`jnl`	Estimating Probabilities in Recommendation Systems CoRR Mingxuan Sun, Guy Lebanon, Paul Kidwell
2010	J	`jnl`	Linguistic Geometries for Unsupervised Dimensionality Reduction CoRR Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
2010	—	`conf`	Local Space-Time Smoothing for Version Controlled Documents. COLING (Posters) Seungyeon Kim, Guy Lebanon
2010	J	`jnl`	Local Space-Time Smoothing for Versioned Documents CoRR Seungyeon Kim, Guy Lebanon
2010	J	`jnl`	Statistical and Computational Tradeoffs in Stochastic Composite Likelihood CoRR Joshua V. Dillon, Guy Lebanon
2010	J	`jnl`	Stochastic Composite Likelihood. J. Mach. Learn. Res. Joshua V. Dillon, Guy Lebanon
2010	J	`jnl`	Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. J. Mach. Learn. Res. Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian
2010	J	`jnl`	Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels CoRR Pinar Donmez, Krishnakumar Balasubramanian, Guy Lebanon
2010	A*	`conf`	Visualizing differences in web search algorithms using the expected weighted hoeffding distance. WWW Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
2009	J	`jnl`	Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk. Trans. Data Priv. Guy Lebanon, Monica Scannapieco, Mohamed R. Fouad, Elisa Bertino
2009	J	`jnl`	Data transformations and representations for computation and visualization. Inf. Vis. David J. Kasik, David S. Ebert, Guy Lebanon, Haesun Park, William M. Pottenger
2009	A	`conf`	Domain Knowledge Uncertainty and Probabilistic Parameter Constraints. UAI Yi Mao, Guy Lebanon
2009	J	`jnl`	Generalized isotonic conditional random fields. Mach. Learn. Yi Mao, Guy Lebanon
2009	A*	`conf`	Statistical Estimation of Word Acquisition with Application to Readability Prediction. EMNLP Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
2009	A	`conf`	Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. AISTATS Joshua V. Dillon, Guy Lebanon
2008	—	`conf`	ARUBA: A Risk-Utility-Based Algorithm for Data Disclosure. Secure Data Management Mohamed R. Fouad, Guy Lebanon, Elisa Bertino
2008	A	`conf`	Determining Placement of Intrusion Detectors for a Distributed Application through Bayesian Network Modeling. RAID Gaspar Modelo-Howard, Saurabh Bagchi, Guy Lebanon
2008	A*	`conf`	Local likelihood modeling of temporal text streams. ICML Guy Lebanon, Yang Zhao
2008	J	`jnl`	Visualizing Incomplete and Partially Ranked Data. IEEE Trans. Vis. Comput. Graph. Paul Kidwell, Guy Lebanon, William S. Cleveland
2007	—	`conf`	Non-parametric Modeling of Partially Ranked Data. NIPS Guy Lebanon, Yi Mao
2007	J	`jnl`	Sequential Document Visualization. IEEE Trans. Vis. Comput. Graph. Yi Mao, Joshua V. Dillon, Guy Lebanon
2007	A	`conf`	Statistical Translation, Heat Kernels and Expected Distances. UAI Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang
2007	J	`jnl`	The Locally Weighted Bag of Words Framework for Document Representation. J. Mach. Learn. Res. Guy Lebanon, Yi Mao, Joshua V. Dillon
2006	C	`conf`	Beyond Privacy in Statistical Databases Guy Lebanon, Monica Scannapieco, Mohamed R. Fouad, Elisa Bertino
2006	—	`conf`	Isotonic Conditional Random Fields and Local Sentiment Flow. NIPS Yi Mao, Guy Lebanon
2006	J	`jnl`	Metric Learning for Text Documents. IEEE Trans. Pattern Anal. Mach. Intell. Guy Lebanon
2006	A	`conf`	Sequential Document Representations and Simplicial Curves. UAI Guy Lebanon
2005	J	`jnl`	Axiomatic geometry of conditional models. IEEE Trans. Inf. Theory Guy Lebanon
2005	J	`jnl`	Diffusion Kernels on Statistical Manifolds. J. Mach. Learn. Res. John D. Lafferty, Guy Lebanon
2004	A	`conf`	An Extended Cencov-Campbell Characterization of Conditional Information Geometry. UAI Guy Lebanon
2004	A*	`conf`	Hyperplane margin classifiers on the multinomial manifold. ICML Guy Lebanon, John D. Lafferty
2003	A	`conf`	Learning Riemannian Metrics. UAI Guy Lebanon
2002	—	`conf`	Conditional Models on the Ranking Poset. NIPS Guy Lebanon, John D. Lafferty
2002	A*	`conf`	Cranking: Combining Rankings Using Conditional Probability Models on Permutations. ICML Guy Lebanon, John D. Lafferty
2002	—	`conf`	Information Diffusion Kernels. NIPS John D. Lafferty, Guy Lebanon
2001	—	`conf`	Boosting and Maximum Likelihood for Exponential Models. NIPS Guy Lebanon, John D. Lafferty
2001	—	`conf`	Designing Moiré Patterns. EMMCVPR Guy Lebanon, Alfred M. Bruckstein