| 2007 | A bound on the label complexity of agnostic active learning. Steve Hanneke |
| 2007 | A dependence maximization view of clustering. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt |
| 2007 | A fast linear separability test by projection of positive points on subspaces. A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal |
| 2007 | A kernel path algorithm for support vector machines. Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky |
| 2007 | A kernel-based causal learning algorithm. Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf, Kenji Fukumizu |
| 2007 | A novel orthogonal NMF-based belief compression for POMDPs. Xin Li, William Kwok-Wai Cheung, Jiming Liu, Zhili Wu |
| 2007 | A permutation-augmented sampler for DP mixture models. Percy Liang, Michael I. Jordan, Benjamin Taskar |
| 2007 | A recursive method for discriminative mixture learning. Minyoung Kim, Vladimir Pavlovic |
| 2007 | A transductive framework of distance metric learning by spectral dimensionality reduction. Fuxin Li, Jian Yang, Jue Wang |
| 2007 | Adaptive dimension reduction using discriminant analysis and Chris H. Q. Ding, Tao Li |
| 2007 | Adaptive mesh compression in 3D computer graphics using multiscale manifold learning. Sridhar Mahadevan |
| 2007 | An empirical evaluation of deep architectures on problems with many factors of variation. Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio |
| 2007 | An integrated approach to feature invention and model construction for drug activity prediction. Jesse Davis, Vítor Santos Costa, Soumya Ray, David Page |
| 2007 | Analyzing feature generation for value-function approximation. Ronald Parr, Christopher Painter-Wakefield, Lihong Li, Michael L. Littman |
| 2007 | Approximate maximum margin algorithms with rules controlled by the number of mistakes. Petroula Tsampouka, John Shawe-Taylor |
| 2007 | Asymmetric boosting. Hamed Masnadi-Shirazi, Nuno Vasconcelos |
| 2007 | Asymptotic Bayesian generalization error when training and test distributions are different. Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller |
| 2007 | Automatic shaping and decomposition of reward functions. Bhaskara Marthi |
| 2007 | Bayesian actor-critic algorithms. Mohammad Ghavamzadeh, Yaakov Engel |
| 2007 | Bayesian compressive sensing and projection optimization. Shihao Ji, Lawrence Carin |
| 2007 | Beamforming using the relevance vector machine. David P. Wipf, Srikantan S. Nagarajan |
| 2007 | Best of both: a hybridized centroid-medoid clustering heuristic. Nizar Grira, Michael E. Houle |
| 2007 | Boosting for transfer learning. Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu |
| 2007 | Bottom-up learning of Markov logic network structure. Lilyana Mihalkova, Raymond J. Mooney |
| 2007 | CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. Roberto Esposito, Daniele Paolo Radicioni |
| 2007 | Classifying matrices with a spectral regularization. Ryota Tomioka, Kazuyuki Aihara |
| 2007 | Cluster analysis of heterogeneous rank data. Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann |
| 2007 | Combining online and offline knowledge in UCT. Sylvain Gelly, David Silver |
| 2007 | Comparisons of sequence labeling algorithms and extensions. Nam Nguyen, Yunsong Guo |
| 2007 | Conditional random fields for multi-agent reinforcement learning. Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanathan |
| 2007 | Constructing basis functions from directed graphs for value function approximation. Jeffrey Johns, Sridhar Mahadevan |
| 2007 | Cross-domain transfer for reinforcement learning. Matthew E. Taylor, Peter Stone |
| 2007 | Dimensionality reduction and generalization. Sofia Mosci, Lorenzo Rosasco, Alessandro Verri |
| 2007 | Direct convex relaxations of sparse SVM. Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet |
| 2007 | Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data. Hua-Yan Wang, Hongbin Zha, Hong Qin |
| 2007 | Discriminant analysis in correlation similarity measure space. Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawade |
| 2007 | Discriminant kernel and regularization parameter learning via semidefinite programming. Jieping Ye, Jianhui Chen, Shuiwang Ji |
| 2007 | Discriminative Gaussian process latent variable model for classification. Raquel Urtasun, Trevor Darrell |
| 2007 | Discriminative learning for differing training and test distributions. Steffen Bickel, Michael Brückner, Tobias Scheffer |
| 2007 | Dynamic hierarchical Markov random fields and their application to web data extraction. Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen |
| 2007 | Efficient inference with cardinality-based clique potentials. Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi |
| 2007 | Efficiently computing minimax expected-size confidence regions. Brent Bryan, H. Brendan McMahan, Chad M. Schafer, Jeff G. Schneider |
| 2007 | Entire regularization paths for graph data. Koji Tsuda |
| 2007 | Experimental perspectives on learning from imbalanced data. Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2007 | Exponentiated gradient algorithms for log-linear structured prediction. Amir Globerson, Terry Koo, Xavier Carreras, Michael Collins |
| 2007 | Fast and effective kernels for relational learning from texts. Alessandro Moschitti, Fabio Massimo Zanzotto |
| 2007 | Feature selection in a kernel space. Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen |
| 2007 | Focused crawling with scalable ordinal regression solvers. Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty |
| 2007 | Full regularization path for sparse principal component analysis. Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui |
| 2007 | Gradient boosting for kernelized output spaces. Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc |
| 2007 | Graph clustering with network structure indices. Matthew J. Rattigan, Marc E. Maier, David D. Jensen |
| 2007 | Hierarchical Gaussian process latent variable models. Neil D. Lawrence, Andrew J. Moore |
| 2007 | Hierarchical maximum entropy density estimation. Miroslav Dudík, David M. Blei, Robert E. Schapire |
| 2007 | Hybrid huberized support vector machines for microarray classification. Li Wang, Ji Zhu, Hui Zou |
| 2007 | Incremental Bayesian networks for structure prediction. Ivan Titov, James Henderson |
| 2007 | Infinite mixtures of trees. Sergey Kirshner, Padhraic Smyth |
| 2007 | Information-theoretic metric learning. Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon |
| 2007 | Intractability and clustering with constraints. Ian Davidson, S. S. Ravi |
| 2007 | Kernel selection forl semi-supervised kernel machines. Guang Dai, Dit-Yan Yeung |
| 2007 | Kernelizing PLS, degrees of freedom, and efficient model selection. Nicole Krämer, Mikio L. Braun |
| 2007 | Large-scale RLSC learning without agony. Wenye Li, Kin-Hong Lee, Kwong-Sak Leung |
| 2007 | Learning a meta-level prior for feature relevance from multiple related tasks. Su-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller |
| 2007 | Learning distance function by coding similarity. Aharon Bar-Hillel, Daphna Weinshall |
| 2007 | Learning for efficient retrieval of structured data with noisy queries. Charles Parker, Alan Fern, Prasad Tadepalli |
| 2007 | Learning from interpretations: a rooted kernel for ordered hypergraphs. Gabriel Wachman, Roni Khardon |
| 2007 | Learning nonparametric kernel matrices from pairwise constraints. Steven C. H. Hoi, Rong Jin, Michael R. Lyu |
| 2007 | Learning random walks to rank nodes in graphs. Alekh Agarwal, Soumen Chakrabarti |
| 2007 | Learning state-action basis functions for hierarchical MDPs. Sarah Osentoski, Sridhar Mahadevan |
| 2007 | Learning to combine distances for complex representations. Adam Woznica, Alexandros Kalousis, Melanie Hilario |
| 2007 | Learning to compress images and videos. Li Cheng, S. V. N. Vishwanathan |
| 2007 | Learning to rank: from pairwise approach to listwise approach. Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li |
| 2007 | Learning to solve game trees. David H. Stern, Ralf Herbrich, Thore Graepel |
| 2007 | Least squares linear discriminant analysis. Jieping Ye |
| 2007 | Linear and nonlinear generative probabilistic class models for shape contours. Graham McNeill, Sethu Vijayakumar |
| 2007 | Local dependent components. Arto Klami, Samuel Kaski |
| 2007 | Local learning projections. Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf |
| 2007 | Local similarity discriminant analysis. Luca Cazzanti, Maya R. Gupta |
| 2007 | Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007 Zoubin Ghahramani |
| 2007 | Magnitude-preserving ranking algorithms. Corinna Cortes, Mehryar Mohri, Ashish Rastogi |
| 2007 | Manifold-adaptive dimension estimation. Amir Massoud Farahmand, Csaba Szepesvári, Jean-Yves Audibert |
| 2007 | Map building without localization by dimensionality reduction techniques. Takehisa Yairi |
| 2007 | Maximum margin clustering made practical. Kai Zhang, Ivor W. Tsang, James T. Kwok |
| 2007 | Minimum reference set based feature selection for small sample classifications. Xue-wen Chen, Jong Cheol Jeong |
| 2007 | Mixtures of hierarchical topics with Pachinko allocation. David M. Mimno, Wei Li, Andrew McCallum |
| 2007 | Modeling changing dependency structure in multivariate time series. Xiang Xuan, Kevin P. Murphy |
| 2007 | More efficiency in multiple kernel learning. Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet |
| 2007 | Most likely heteroscedastic Gaussian process regression. Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard |
| 2007 | Multi-armed bandit problems with dependent arms. Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal |
| 2007 | Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. Kai Ni, Lawrence Carin, David B. Dunson |
| 2007 | Multi-task reinforcement learning: a hierarchical Bayesian approach. Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli |
| 2007 | Multiclass core vector machine. S. Asharaf, M. Narasimha Murty, Shirish K. Shevade |
| 2007 | Multiclass multiple kernel learning. Alexander Zien, Cheng Soon Ong |
| 2007 | Multifactor Gaussian process models for style-content separation. Jack M. Wang, David J. Fleet, Aaron Hertzmann |
| 2007 | Multiple instance learning for sparse positive bags. Razvan C. Bunescu, Raymond J. Mooney |
| 2007 | Neighbor search with global geometry: a minimax message passing algorithm. Kye-Hyeon Kim, Seungjin Choi |
| 2007 | Non-isometric manifold learning: analysis and an algorithm. Piotr Dollár, Vincent C. Rabaud, Serge J. Belongie |
| 2007 | Nonlinear independent component analysis with minimal nonlinear distortion. Kun Zhang, Laiwan Chan |
| 2007 | Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach. Andreas Krause, Carlos Guestrin |
| 2007 | On learning linear ranking functions for beam search. Yuehua Xu, Alan Fern |
| 2007 | On learning with dissimilarity functions. Liwei Wang, Cheng Yang, Jufu Feng |
| 2007 | On one method of non-diagonal regularization in sparse Bayesian learning. Dmitry Kropotov, Dmitry P. Vetrov |
| 2007 | On the relation between multi-instance learning and semi-supervised learning. Zhi-Hua Zhou, Jun-Ming Xu |
| 2007 | On the role of tracking in stationary environments. Richard S. Sutton, Anna Koop, David Silver |
| 2007 | On the value of pairwise constraints in classification and consistency. Jian Zhang, Rong Yan |
| 2007 | Online discovery of similarity mappings. Alexander Rakhlin, Jacob D. Abernethy, Peter L. Bartlett |
| 2007 | Online kernel PCA with entropic matrix updates. Dima Kuzmin, Manfred K. Warmuth |
| 2007 | Optimal dimensionality of metric space for classification. Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo, Hong Lu |
| 2007 | Parameter learning for relational Bayesian networks. Manfred Jaeger |
| 2007 | Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro |
| 2007 | Percentile optimization in uncertain Markov decision processes with application to efficient exploration. Erick Delage, Shie Mannor |
| 2007 | Piecewise pseudolikelihood for efficient training of conditional random fields. Charles Sutton, Andrew McCallum |
| 2007 | Quadratically gated mixture of experts for incomplete data classification. Xuejun Liao, Hui Li, Lawrence Carin |
| 2007 | Quantum clustering algorithms. Esma Aïmeur, Gilles Brassard, Sébastien Gambs |
| 2007 | Recovering temporally rewiring networks: a model-based approach. Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing |
| 2007 | Regression on manifolds using kernel dimension reduction. Jens Nilsson, Fei Sha, Michael I. Jordan |
| 2007 | Reinforcement learning by reward-weighted regression for operational space control. Jan Peters, Stefan Schaal |
| 2007 | Relational clustering by symmetric convex coding. Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu |
| 2007 | Restricted Boltzmann machines for collaborative filtering. Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton |
| 2007 | Revisiting probabilistic models for clustering with pair-wise constraints. Blaine Nelson, Ira Cohen |
| 2007 | Robust mixtures in the presence of measurement errors. Jianyong Sun, Ata Kabán, Somak Raychaudhury |
| 2007 | Robust multi-task learning with Shipeng Yu, Volker Tresp, Kai Yu |
| 2007 | Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps. Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker |
| 2007 | Sample compression bounds for decision trees. Mohak Shah |
| 2007 | Scalable modeling of real graphs using Kronecker multiplication. Jure Leskovec, Christos Faloutsos |
| 2007 | Scalable training of L Galen Andrew, Jianfeng Gao |
| 2007 | Self-taught learning: transfer learning from unlabeled data. Rajat Raina, Alexis J. Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng |
| 2007 | Simple, robust, scalable semi-supervised learning via expectation regularization. Gideon S. Mann, Andrew McCallum |
| 2007 | Simpler core vector machines with enclosing balls. Ivor W. Tsang, András Kocsor, James T. Kwok |
| 2007 | Solving multiclass support vector machines with LaRank. Antoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston |
| 2007 | Sparse eigen methods by D.C. programming. Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet |
| 2007 | Sparse probabilistic classifiers. Romain Hérault, Yves Grandvalet |
| 2007 | Spectral clustering and transductive learning with multiple views. Dengyong Zhou, Christopher J. C. Burges |
| 2007 | Spectral feature selection for supervised and unsupervised learning. Zheng Zhao, Huan Liu |
| 2007 | Statistical predicate invention. Stanley Kok, Pedro M. Domingos |
| 2007 | Structural alignment based kernels for protein structure classification. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra |
| 2007 | Supervised clustering of streaming data for email batch detection. Peter Haider, Ulf Brefeld, Tobias Scheffer |
| 2007 | Supervised feature selection via dependence estimation. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo |
| 2007 | Support cluster machine. Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue |
| 2007 | The matrix stick-breaking process for flexible multi-task learning. Ya Xue, David B. Dunson, Lawrence Carin |
| 2007 | The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks. Arik Azran |
| 2007 | Three new graphical models for statistical language modelling. Andriy Mnih, Geoffrey E. Hinton |
| 2007 | Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation. Chee Wee Phua, Robert Fitch |
| 2007 | Transductive regression piloted by inter-manifold relations. Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhuang Liu, Xiaoou Tang |
| 2007 | Transductive support vector machines for structured variables. Alexander Zien, Ulf Brefeld, Tobias Scheffer |
| 2007 | Trust region Newton methods for large-scale logistic regression. Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi |
| 2007 | Two-view feature generation model for semi-supervised learning. Rie Kubota Ando, Tong Zhang |
| 2007 | Uncovering shared structures in multiclass classification. Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman |
| 2007 | Unsupervised estimation for noisy-channel models. Markos Mylonakis, Khalil Sima'an, Rebecca Hwa |
| 2007 | Unsupervised prediction of citation influences. Laura Dietz, Steffen Bickel, Tobias Scheffer |
| 2007 | What is decreased by the max-sum arc consistency algorithm? Tomás Werner |
| 2007 | Winnowing subspaces. Manfred K. Warmuth |