Conferences in DBLP
Pieter Abbeel , Morgan Quigley , Andrew Y. Ng Using inaccurate models in reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Amit Agarwal , Elad Hazan , Satyen Kale , Robert E. Schapire Algorithms for portfolio management based on the Newton method. [Citation Graph (0, 0)][DBLP ] Conf ] Sameer Agarwal , Kristin Branson , Serge Belongie Higher order learning with graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Shivani Agarwal Ranking on graph data. [Citation Graph (0, 0)][DBLP ] Conf ] Cédric Archambeau , Nicolas Delannay , Michel Verleysen Robust probabilistic projections. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Argyriou , Raphael Hauser , Charles A. Micchelli , Massimiliano Pontil A DC-programming algorithm for kernel selection. [Citation Graph (0, 0)][DBLP ] Conf ] Nima Asgharbeygi , David J. Stracuzzi , Pat Langley Relational temporal difference learning. [Citation Graph (0, 0)][DBLP ] Conf ] Arik Azran , Zoubin Ghahramani A new approach to data driven clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Maria-Florina Balcan , Alina Beygelzimer , John Langford Agnostic active learning. [Citation Graph (0, 0)][DBLP ] Conf ] Maria-Florina Balcan , Avrim Blum On a theory of learning with similarity functions. [Citation Graph (0, 0)][DBLP ] Conf ] Arindam Banerjee On Bayesian bounds. [Citation Graph (0, 0)][DBLP ] Conf ] Onureena Banerjee , Laurent El Ghaoui , Alexandre d'Aspremont , Georges Natsoulis Convex optimization techniques for fitting sparse Gaussian graphical models. [Citation Graph (0, 0)][DBLP ] Conf ] Alina Beygelzimer , Sham Kakade , John Langford Cover trees for nearest neighbor. [Citation Graph (0, 0)][DBLP ] Conf ] Ivona Bezáková , Adam Kalai , Rahul Santhanam Graph model selection using maximum likelihood. [Citation Graph (0, 0)][DBLP ] Conf ] David M. Blei , John D. Lafferty Dynamic topic models. [Citation Graph (0, 0)][DBLP ] Conf ] Edwin V. Bonilla , Christopher K. I. Williams , Felix V. Agakov , John Cavazos , John Thomson , Michael F. P. O'Boyle Predictive search distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Bowling , Peter McCracken , Michael James , James Neufeld , Dana F. Wilkinson Learning predictive state representations using non-blind policies. [Citation Graph (0, 0)][DBLP ] Conf ] Ulf Brefeld , Thomas Gärtner , Tobias Scheffer , Stefan Wrobel Efficient co-regularised least squares regression. [Citation Graph (0, 0)][DBLP ] Conf ] Ulf Brefeld , Tobias Scheffer Semi-supervised learning for structured output variables. [Citation Graph (0, 0)][DBLP ] Conf ] Miguel Á. Carreira-Perpiñán Fast nonparametric clustering with Gaussian blurring mean-shift. [Citation Graph (0, 0)][DBLP ] Conf ] Rich Caruana , Alexandru Niculescu-Mizil An empirical comparison of supervised learning algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence Cayton , Sanjoy Dasgupta Robust Euclidean embedding. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolò Cesa-Bianchi , Claudio Gentile , Luca Zaniboni Hierarchical classification: combining Bayes with SVM. [Citation Graph (0, 0)][DBLP ] Conf ] Olivier Chapelle , Mingmin Chi , Alexander Zien A continuation method for semi-supervised SVMs. [Citation Graph (0, 0)][DBLP ] Conf ] Pak-Ming Cheung , James T. Kwok A regularization framework for multiple-instance learning. [Citation Graph (0, 0)][DBLP ] Conf ] Ronan Collobert , Fabian H. Sinz , Jason Weston , Léon Bottou Trading convexity for scalability. [Citation Graph (0, 0)][DBLP ] Conf ] Vincent Conitzer , Nikesh Garera Learning algorithms for online principal-agent problems (and selling goods online). [Citation Graph (0, 0)][DBLP ] Conf ] Bruno Castro da Silva , Eduardo W. Basso , Ana L. C. Bazzan , Paulo Martins Engel Dealing with non-stationary environments using context detection. [Citation Graph (0, 0)][DBLP ] Conf ] Juan Dai , Shuicheng Yan , Xiaoou Tang , James T. Kwok Locally adaptive classification piloted by uncertainty. [Citation Graph (0, 0)][DBLP ] Conf ] Jesse Davis , Mark Goadrich The relationship between Precision-Recall and ROC curves. [Citation Graph (0, 0)][DBLP ] Conf ] Fernando De la Torre , Takeo Kanade Discriminative cluster analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Dennis DeCoste Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Degris , Olivier Sigaud , Pierre-Henri Wuillemin Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. [Citation Graph (0, 0)][DBLP ] Conf ] François Denis , Christophe Nicolas Magnan , Liva Ralaivola Efficient learning of Naive Bayes classifiers under class-conditional classification noise. [Citation Graph (0, 0)][DBLP ] Conf ] Marie desJardins , Eric Eaton , Kiri Wagstaff Learning user preferences for sets of objects. [Citation Graph (0, 0)][DBLP ] Conf ] Chris H. Q. Ding , Ding Zhou , Xiaofeng He , Hongyuan Zha R 1 -PCA: rotational invariant L 1 -norm principal component analysis for robust subspace factorization.Citation Graph (0, 0)][DBLP ] Conf ] Charles Elkan Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution. [Citation Graph (0, 0)][DBLP ] Conf ] Barbara E. Engelhardt , Michael I. Jordan , Steven E. Brenner A graphical model for predicting protein molecular function. [Citation Graph (0, 0)][DBLP ] Conf ] Arkady Epshteyn , Gerald DeJong Qualitative reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Fink 0002 , Shai Shalev-Shwartz , Yoram Singer , Shimon Ullman Online multiclass learning by interclass hypothesis sharing. [Citation Graph (0, 0)][DBLP ] Conf ] Jochen Garcke Regression with the optimised combination technique. [Citation Graph (0, 0)][DBLP ] Conf ] Yang Ge , Wenxin Jiang A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference. [Citation Graph (0, 0)][DBLP ] Conf ] Peter V. Gehler , Alex Holub , Max Welling The rate adapting poisson model for information retrieval and object recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Pierre Geurts , Louis Wehenkel , Florence d'Alché-Buc Kernelizing the output of tree-based methods. [Citation Graph (0, 0)][DBLP ] Conf ] Amir Globerson , Sam T. Roweis Nightmare at test time: robust learning by feature deletion. [Citation Graph (0, 0)][DBLP ] Conf ] Dilan Görür , Frank Jäkel , Carl Edward Rasmussen A choice model with infinitely many latent features. [Citation Graph (0, 0)][DBLP ] Conf ] Alex Graves , Santiago Fernández , Faustino J. Gomez , Jürgen Schmidhuber Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. [Citation Graph (0, 0)][DBLP ] Conf ] Derek Greene , Padraig Cunningham Practical solutions to the problem of diagonal dominance in kernel document clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Patrick Haffner Fast transpose methods for kernel learning on sparse data. [Citation Graph (0, 0)][DBLP ] Conf ] Steve Hanneke An analysis of graph cut size for transductive learning. [Citation Graph (0, 0)][DBLP ] Conf ] Tomer Hertz , Aharon Bar-Hillel , Daphna Weinshall Learning a kernel function for classification with small training samples. [Citation Graph (0, 0)][DBLP ] Conf ] Michael P. Holmes , Charles Lee Isbell Jr. Looping suffix tree-based inference of partially observable hidden state. [Citation Graph (0, 0)][DBLP ] Conf ] Steven C. H. Hoi , Rong Jin , Jianke Zhu , Michael R. Lyu Batch mode active learning and its application to medical image classification. [Citation Graph (0, 0)][DBLP ] Conf ] Tzu-Kuo Huang , Chih-Jen Lin , Ruby C. Weng Ranking individuals by group comparisons. [Citation Graph (0, 0)][DBLP ] Conf ] Rebecca Hutchinson , Tom M. Mitchell , Indrayana Rustandi Hidden process models. [Citation Graph (0, 0)][DBLP ] Conf ] Brendan Juba Estimating relatedness via data compression. [Citation Graph (0, 0)][DBLP ] Conf ] Philipp W. Keller , Shie Mannor , Doina Precup Automatic basis function construction for approximate dynamic programming and reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Wolf Kienzle , Kumar Chellapilla Personalized handwriting recognition via biased regularization. [Citation Graph (0, 0)][DBLP ] Conf ] Seung-Jean Kim , Alessandro Magnani , Stephen P. Boyd Optimal kernel selection in Kernel Fisher discriminant analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Seung-Jean Kim , Alessandro Magnani , Sikandar Samar , Stephen P. Boyd , Johan Lim Pareto optimal linear classification. [Citation Graph (0, 0)][DBLP ] Conf ] Mike Klaas , Mark Briers , Nando de Freitas , Arnaud Doucet , Simon Maskell , Dustin Lang Fast particle smoothing: if I had a million particles. [Citation Graph (0, 0)][DBLP ] Conf ] George Konidaris , Andrew G. Barto Autonomous shaping: knowledge transfer in reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Krause , Jure Leskovec , Carlos Guestrin Data association for topic intensity tracking. [Citation Graph (0, 0)][DBLP ] Conf ] Brian Kulis , Mátyás Sustik , Inderjit S. Dhillon Learning low-rank kernel matrices. [Citation Graph (0, 0)][DBLP ] Conf ] Neil D. Lawrence , Joaquin Quiñonero Candela Local distance preservation in the GP-LVM through back constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Quoc V. Le , Alex J. Smola , Thomas Gärtner Simpler knowledge-based support vector machines. [Citation Graph (0, 0)][DBLP ] Conf ] Chi-Hoon Lee , Russell Greiner , Shaojun Wang Using query-specific variance estimates to combine Bayesian classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Alain Lehmann , John Shawe-Taylor A probabilistic model for text kernels. [Citation Graph (0, 0)][DBLP ] Conf ] Marius Leordeanu , Martial Hebert Efficient MAP approximation for dense energy functions. [Citation Graph (0, 0)][DBLP ] Conf ] Darrin P. Lewis , Tony Jebara , William Stafford Noble Nonstationary kernel combination. [Citation Graph (0, 0)][DBLP ] Conf ] Hui Li , Xuejun Liao , Lawrence Carin Region-based value iteration for partially observable Markov decision processes. [Citation Graph (0, 0)][DBLP ] Conf ] Ling Li Multiclass boosting with repartitioning. [Citation Graph (0, 0)][DBLP ] Conf ] Wei Li , Andrew McCallum Pachinko allocation: DAG-structured mixture models of topic correlations. [Citation Graph (0, 0)][DBLP ] Conf ] Bo Long , Zhongfei (Mark) Zhang , Xiaoyun Wu , Philip S. Yu Spectral clustering for multi-type relational data. [Citation Graph (0, 0)][DBLP ] Conf ] Le Lu , René Vidal Combined central and subspace clustering for computer vision applications. [Citation Graph (0, 0)][DBLP ] Conf ] Mauro Maggioni , Sridhar Mahadevan Fast direct policy evaluation using multiscale analysis of Markov diffusion processes. [Citation Graph (0, 0)][DBLP ] Conf ] Gonzalo Martínez-Muñoz , Alberto Suárez Pruning in ordered bagging ensembles. [Citation Graph (0, 0)][DBLP ] Conf ] Julian John McAuley , Tibério S. Caetano , Alex J. Smola , Matthias O. Franz Learning high-order MRF priors of color images. [Citation Graph (0, 0)][DBLP ] Conf ] Marina Meila The uniqueness of a good optimum for K-means. [Citation Graph (0, 0)][DBLP ] Conf ] Roland Memisevic Kernel information embeddings. [Citation Graph (0, 0)][DBLP ] Conf ] Baback Moghaddam , Yair Weiss , Shai Avidan Generalized spectral bounds for sparse LDA. [Citation Graph (0, 0)][DBLP ] Conf ] Moni Naor , Guy N. Rothblum Learning to impersonate. [Citation Graph (0, 0)][DBLP ] Conf ] Mukund Narasimhan , Paul A. Viola , Michael Shilman Online decoding of Markov models under latency constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Negin Nejati , Pat Langley , Tolga Könik Learning hierarchical task networks by observation. [Citation Graph (0, 0)][DBLP ] Conf ] Yuriy Nevmyvaka , Yi Feng , Michael S. Kearns Reinforcement learning for optimized trade execution. [Citation Graph (0, 0)][DBLP ] Conf ] Navneet Panda , Edward Y. Chang , Gang Wu Concept boundary detection for speeding up SVMs. [Citation Graph (0, 0)][DBLP ] Conf ] Francisco Pereira , Geoffrey Gordon The support vector decomposition machine. [Citation Graph (0, 0)][DBLP ] Conf ] Pascal Poupart , Nikos A. Vlassis , Jesse Hoey , Kevin Regan An analytic solution to discrete Bayesian reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rouhollah Rahmani , Sally A. Goldman MISSL: multiple-instance semi-supervised learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rajat Raina , Andrew Y. Ng , Daphne Koller Constructing informative priors using transfer learning. [Citation Graph (0, 0)][DBLP ] Conf ] Liva Ralaivola , François Denis , Christophe Nicolas Magnan CN = CPCN. [Citation Graph (0, 0)][DBLP ] Conf ] Nathan D. Ratliff , J. Andrew Bagnell , Martin Zinkevich Maximum margin planning. [Citation Graph (0, 0)][DBLP ] Conf ] Pradeep D. Ravikumar , John Lafferty Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Michel Renders , Éric Gaussier , Cyril Goutte , François Pacull , Gabriella Csurka Categorization in multiple category systems. [Citation Graph (0, 0)][DBLP ] Conf ] Lev Reyzin , Robert E. Schapire How boosting the margin can also boost classifier complexity. [Citation Graph (0, 0)][DBLP ] Conf ] David A. Ross , Simon Osindero , Richard S. Zemel Combining discriminative features to infer complex trajectories. [Citation Graph (0, 0)][DBLP ] Conf ] Josep Roure , Andrew W. Moore Sequential update of ADtrees. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew R. Rudary , Satinder P. Singh Predictive linear-Gaussian models of controlled stochastic dynamical systems. [Citation Graph (0, 0)][DBLP ] Conf ] Ulrich Rückert , Stefan Kramer A statistical approach to rule learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sunita Sarawagi Efficient inference on sequence segmentation models. [Citation Graph (0, 0)][DBLP ] Conf ] Prithviraj Sen , Lise Getoor Cost-sensitive learning with conditional Markov networks. [Citation Graph (0, 0)][DBLP ] Conf ] Victor S. Sheng , Charles X. Ling Feature value acquisition in testing: a sequential batch test algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Pannagadatta K. Shivaswamy , Tony Jebara Permutation invariant SVMs. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Silva , Richard Scheines Bayesian learning of measurement and structural models. [Citation Graph (0, 0)][DBLP ] Conf ] Özgür Simsek , Andrew G. Barto An intrinsic reward mechanism for efficient exploration. [Citation Graph (0, 0)][DBLP ] Conf ] Vikas Sindhwani , S. Sathiya Keerthi , Olivier Chapelle Deterministic annealing for semi-supervised kernel machines. [Citation Graph (0, 0)][DBLP ] Conf ] Surendra K. Singhi , Huan Liu Feature subset selection bias for classification learning. [Citation Graph (0, 0)][DBLP ] Conf ] Le Song , Julien Epps Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features. [Citation Graph (0, 0)][DBLP ] Conf ] Nathan Srebro , Gregory Shakhnarovich , Sam Roweis An investigation of computational and informational limits in Gaussian mixture clustering. [Citation Graph (0, 0)][DBLP ] Conf ] David Stern , Ralf Herbrich , Thore Graepel Bayesian pattern ranking for move prediction in the game of Go. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander L. Strehl , Lihong Li , Eric Wiewiora , John Langford , Michael L. Littman PAC model-free reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander L. Strehl , Chris Mesterharm , Michael L. Littman , Haym Hirsh Experience-efficient learning in associative bandit problems. [Citation Graph (0, 0)][DBLP ] Conf ] Jiang Su , Harry Zhang Full Bayesian network classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Masashi Sugiyama Local Fisher discriminant analysis for supervised dimensionality reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Yijun Sun , Jian Li Iterative RELIEF for feature weighting. [Citation Graph (0, 0)][DBLP ] Conf ] Benyang Tang , Dominic Mazzoni Multiclass reduced-set support vector machines. [Citation Graph (0, 0)][DBLP ] Conf ] Choon Hui Teo , S. V. N. Vishwanathan Fast and space efficient string kernels using suffix arrays. [Citation Graph (0, 0)][DBLP ] Conf ] Jo-Anne Ting , Aaron D'Souza , Stefan Schaal Bayesian regression with input noise for high dimensional data. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Toussaint , Amos J. Storkey Probabilistic inference for solving discrete and continuous state Markov Decision Processes. [Citation Graph (0, 0)][DBLP ] Conf ] Koji Tsuda , Taku Kudo Clustering graphs by weighted substructure mining. [Citation Graph (0, 0)][DBLP ] Conf ] Sriharsha Veeramachaneni , Emanuele Olivetti , Paolo Avesani Active sampling for detecting irrelevant features. [Citation Graph (0, 0)][DBLP ] Conf ] S. V. N. Vishwanathan , Nicol N. Schraudolph , Mark W. Schmidt , Kevin P. Murphy Accelerated training of conditional random fields with stochastic gradient methods. [Citation Graph (0, 0)][DBLP ] Conf ] Hanna M. Wallach Topic modeling: beyond bag-of-words. [Citation Graph (0, 0)][DBLP ] Conf ] Fei Wang , Changshui Zhang Label propagation through linear neighborhoods. [Citation Graph (0, 0)][DBLP ] Conf ] Gang Wang , Dit-Yan Yeung , Frederick H. Lochovsky Two-dimensional solution path for support vector regression. [Citation Graph (0, 0)][DBLP ] Conf ] Manfred K. Warmuth , Jun Liao , Gunnar Rätsch Totally corrective boosting algorithms that maximize the margin. [Citation Graph (0, 0)][DBLP ] Conf ] Jason Weston , Ronan Collobert , Fabian H. Sinz , Léon Bottou , Vladimir Vapnik Inference with the Universum. [Citation Graph (0, 0)][DBLP ] Conf ] David Wingate , Satinder P. Singh Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems. [Citation Graph (0, 0)][DBLP ] Conf ] Britton Wolfe , Satinder P. Singh Predictive state representations with options. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaopeng Xi , Eamonn J. Keogh , Christian R. Shelton , Li Wei , Chotirat Ann Ratanamahatana Fast time series classification using numerosity reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Lin Xiao , Jun Sun , Stephen P. Boyd A duality view of spectral methods for dimensionality reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Eric P. Xing , Kyung-Ah Sohn , Michael I. Jordan , Yee Whye Teh Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. [Citation Graph (0, 0)][DBLP ] Conf ] Linli Xu , Dana F. Wilkinson , Finnegan Southey , Dale Schuurmans Discriminative unsupervised learning of structured predictors. [Citation Graph (0, 0)][DBLP ] Conf ] Xin Yang , Haoying Fu , Hongyuan Zha , Jesse L. Barlow Semi-supervised nonlinear dimensionality reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Jieping Ye , Tao Xiong Null space versus orthogonal linear discriminant analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Yu , Jinbo Bi , Volker Tresp Active learning via transductive experimental design. [Citation Graph (0, 0)][DBLP ] Conf ] Shipeng Yu , Kai Yu , Volker Tresp , Hans-Peter Kriegel Collaborative ordinal regression. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Zhang , James T. Kwok Block-quantized kernel matrix for fast spectral embedding. [Citation Graph (0, 0)][DBLP ] Conf ] Alice X. Zheng , Michael I. Jordan , Ben Liblit , Mayur Naik , Alex Aiken Statistical debugging: simultaneous identification of multiple bugs. [Citation Graph (0, 0)][DBLP ] Conf ] Fei Zheng , Geoffrey I. Webb Efficient lazy elimination for averaged one-dependence estimators. [Citation Graph (0, 0)][DBLP ] Conf ] 