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2010 – 2019
- 2018
[b1]Guy Lebanon, Mohamed El-Geish:
Computing with Data - An Introduction to the Data Industry. Springer 2018, ISBN 978-3-319-98148-2, pp. 1-576- 2016
- [j16]Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon:
Smooth sparse coding via marginal regression for learning sparse representations. Artif. Intell. 238: 83-95 (2016) - [j15]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio:
LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. 17: 15:1-15:24 (2016) - 2015
- [c44]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Estimating Temporal Dynamics of Human Emotions. AAAI 2015: 168-174 - [c43]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Local Context Sparse Coding. AAAI 2015: 2260-2266 - [c42]Guy Lebanon, S. V. N. Vishwanathan:
Preface. AISTATS 2015 - [c41]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: 1651-1660 - [e2]Guy Lebanon, S. V. N. Vishwanathan:
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015. JMLR Workshop and Conference Proceedings 38, JMLR.org 2015 [contents] - 2014
- [c40]Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Local collaborative ranking. WWW 2014: 85-96 - [i17]Seungyeon Kim, Haesun Park, Guy Lebanon:
Fast Spammer Detection Using Structural Rank. CoRR abs/1407.7072 (2014) - 2013
- [j14]Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon:
Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. 27(1): 1-3 (2013) - [c39]Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Guy Lebanon:
Ultrahigh Dimensional Feature Screening via RKHS Embeddings. AISTATS 2013: 126-134 - [c38]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
Beyond Sentiment: The Manifold of Human Emotions. AISTATS 2013: 360-369 - [c37]Fuxin Li, João Carreira, Guy Lebanon, Cristian Sminchisescu:
Composite Statistical Inference for Semantic Segmentation. CVPR 2013: 3302-3309 - [c36]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Local Low-Rank Matrix Approximation. ICML (2) 2013: 82-90 - [c35]Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon:
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations. ICML (3) 2013: 289-297 - [c34]Guy Lebanon:
Keynote address: Visualizing and modeling ranked data. LDAV 2013 - [c33]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: 303-310 - [c32]Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha:
Learning multiple-question decision trees for cold-start recommendation. WSDM 2013: 445-454 - [c31]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Matrix Approximation under Local Low-Rank Assumption. ICLR (Workshop Poster) 2013 - [c30]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
The Manifold of Human Emotions. ICLR (Workshop Poster) 2013 - 2012
- [j13]Joonseok Lee, Mingxuan Sun, Guy Lebanon:
PREA: personalized recommendation algorithms toolkit. J. Mach. Learn. Res. 13: 2699-2703 (2012) - [c29]Fuxin Li, Guy Lebanon, Cristian Sminchisescu:
Chebyshev approximations to the histogram χ2 kernel. CVPR 2012: 2424-2431 - [c28]Krishnakumar Balasubramanian, Guy Lebanon:
The Landmark Selection Method for Multiple Output Prediction. ICML 2012 - [c27]Liangda Li, Guy Lebanon, Haesun Park:
Fast bregman divergence NMF using taylor expansion and coordinate descent. KDD 2012: 307-315 - [c26]Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon:
Automatic Feature Induction for Stagewise Collaborative Filtering. NIPS 2012: 323-331 - [e1]Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki:
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012. ACM 2012, ISBN 978-1-4503-1156-4 [contents] - [i16]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
Beyond Sentiment: The Manifold of Human Emotions. CoRR abs/1202.1568 (2012) - [i15]Yi Mao, Guy Lebanon:
Domain Knowledge Uncertainty and Probabilistic Parameter Constraints. CoRR abs/1205.2627 (2012) - [i14]Joonseok Lee, Mingxuan Sun, Guy Lebanon:
A Comparative Study of Collaborative Filtering Algorithms. CoRR abs/1205.3193 (2012) - [i13]Seungyeon Kim, Joshua V. Dillon, Guy Lebanon:
Cumulative Revision Map. CoRR abs/1205.3205 (2012) - [i12]Fuxin Li, Guy Lebanon, Cristian Sminchisescu:
Chebyshev Approximations to the Histogram χ2 Kernel. CoRR abs/1206.4074 (2012) - [i11]Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang:
Statistical Translation, Heat Kernels and Expected Distances. CoRR abs/1206.5248 (2012) - [i10]Guy Lebanon:
Sequential Document Representations and Simplicial Curves. CoRR abs/1206.6858 (2012) - [i9]Guy Lebanon:
An Extended Cencov-Campbell Characterization of Conditional Information Geometry. CoRR abs/1207.4139 (2012) - [i8]Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon:
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations. CoRR abs/1210.1121 (2012) - [i7]Guy Lebanon:
Learning Riemannian Metrics. CoRR abs/1212.2474 (2012) - 2011
- [j12]Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon:
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels. J. Mach. Learn. Res. 12: 3119-3145 (2011) - [c25]Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon:
Unsupervised Supervised Learning II: Margin-Based Classification without Labels. AISTATS 2011: 137-145 - [c24]Mingxuan Sun, Guy Lebanon, Paul Kidwell:
Estimating Probabilities in Recommendation Systems. AISTATS 2011: 734-742 - 2010
- [j11]Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian:
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. J. Mach. Learn. Res. 11: 1323-1351 (2010) - [j10]Joshua V. Dillon, Guy Lebanon:
Stochastic Composite Likelihood. J. Mach. Learn. Res. 11: 2597-2633 (2010) - [c23]Seungyeon Kim, Guy Lebanon:
Local Space-Time Smoothing for Version Controlled Documents. COLING (Posters) 2010: 552-560 - [c22]Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon:
Dimensionality Reduction for Text using Domain Knowledge. COLING (Posters) 2010: 801-809 - [c21]Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon:
Asymptotic Analysis of Generative Semi-Supervised Learning. ICML 2010: 295-302 - [c20]Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson:
Visualizing differences in web search algorithms using the expected weighted hoeffding distance. WWW 2010: 931-940 - [i6]Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon:
Asymptotic Analysis of Generative Semi-Supervised Learning. CoRR abs/1003.0024 (2010) - [i5]Pinar Donmez, Krishnakumar Balasubramanian, Guy Lebanon:
Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels. CoRR abs/1003.0470 (2010) - [i4]Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon:
Linguistic Geometries for Unsupervised Dimensionality Reduction. CoRR abs/1003.0628 (2010) - [i3]Joshua V. Dillon, Guy Lebanon:
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. CoRR abs/1003.0691 (2010) - [i2]Seungyeon Kim, Guy Lebanon:
Local Space-Time Smoothing for Versioned Documents. CoRR abs/1003.1410 (2010) - [i1]Mingxuan Sun, Guy Lebanon, Paul Kidwell:
Estimating Probabilities in Recommendation Systems. CoRR abs/1012.0498 (2010)
2000 – 2009
- 2009
- [j9]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): 275-285 (2009) - [j8]Yi Mao, Guy Lebanon:
Generalized isotonic conditional random fields. Mach. Learn. 77(2-3): 225-248 (2009) - [j7]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): 153-183 (2009) - [c19]Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson:
Statistical Estimation of Word Acquisition with Application to Readability Prediction. EMNLP 2009: 900-909 - [c18]Yi Mao, Guy Lebanon:
Domain Knowledge Uncertainty and Probabilistic Parameter Constraints. UAI 2009: 375-382 - [c17]Joshua V. Dillon, Guy Lebanon:
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. AISTATS 2009: 129-136 - 2008
- [j6]Paul Kidwell, Guy Lebanon, William S. Cleveland:
Visualizing Incomplete and Partially Ranked Data. IEEE Trans. Vis. Comput. Graph. 14(6): 1356-1363 (2008) - [c16]Guy Lebanon, Yang Zhao:
Local likelihood modeling of temporal text streams. ICML 2008: 552-559 - [c15]Gaspar Modelo-Howard, Saurabh Bagchi, Guy Lebanon:
Determining Placement of Intrusion Detectors for a Distributed Application through Bayesian Network Modeling. RAID 2008: 271-290 - [c14]Mohamed R. Fouad, Guy Lebanon, Elisa Bertino:
ARUBA: A Risk-Utility-Based Algorithm for Data Disclosure. Secure Data Management 2008: 32-49 - 2007
- [j5]Guy Lebanon, Yi Mao, Joshua V. Dillon:
The Locally Weighted Bag of Words Framework for Document Representation. J. Mach. Learn. Res. 8: 2405-2441 (2007) - [j4]Yi Mao, Joshua V. Dillon, Guy Lebanon:
Sequential Document Visualization. IEEE Trans. Vis. Comput. Graph. 13(6): 1208-1215 (2007) - [c13]Guy Lebanon, Yi Mao:
Non-parametric Modeling of Partially Ranked Data. NIPS 2007: 857-864 - [c12]Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang:
Statistical Translation, Heat Kernels and Expected Distances. UAI 2007: 93-100 - 2006
- [j3]Guy Lebanon:
Metric Learning for Text Documents. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 497-508 (2006) - [c11]Yi Mao, Guy Lebanon:
Isotonic Conditional Random Fields and Local Sentiment Flow. NIPS 2006: 961-968 - [c10]Guy Lebanon, Monica Scannapieco, Mohamed R. Fouad, Elisa Bertino:
Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk. Privacy in Statistical Databases 2006: 217-232 - [c9]Guy Lebanon:
Sequential Document Representations and Simplicial Curves. UAI 2006 - 2005
- [j2]John D. Lafferty, Guy Lebanon:
Diffusion Kernels on Statistical Manifolds. J. Mach. Learn. Res. 6: 129-163 (2005) - [j1]Guy Lebanon:
Axiomatic geometry of conditional models. IEEE Trans. Inf. Theory 51(4): 1283-1294 (2005) - 2004
- [c8]Guy Lebanon, John D. Lafferty:
Hyperplane margin classifiers on the multinomial manifold. ICML 2004 - [c7]Guy Lebanon:
An Extended Cencov-Campbell Characterization of Conditional Information Geometry. UAI 2004: 341-345 - 2003
- [c6]Guy Lebanon:
Learning Riemannian Metrics. UAI 2003: 362-369 - 2002
- [c5]Guy Lebanon, John D. Lafferty:
Cranking: Combining Rankings Using Conditional Probability Models on Permutations. ICML 2002: 363-370 - [c4]John D. Lafferty, Guy Lebanon:
Information Diffusion Kernels. NIPS 2002: 375-382 - [c3]Guy Lebanon, John D. Lafferty:
Conditional Models on the Ranking Poset. NIPS 2002: 415-422 - 2001
- [c2]Guy Lebanon, Alfred M. Bruckstein:
Designing Moiré Patterns. EMMCVPR 2001: 185-200 - [c1]Guy Lebanon, John D. Lafferty:
Boosting and Maximum Likelihood for Exponential Models. NIPS 2001: 447-454
Coauthor Index
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