Conferences in DBLP
Archipelago: nonparametric Bayesian semi-supervised learning. [Citation Graph (, )][DBLP ] Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities. [Citation Graph (, )][DBLP ] Route kernels for trees. [Citation Graph (, )][DBLP ] Incorporating domain knowledge into topic modeling via Dirichlet Forest priors. [Citation Graph (, )][DBLP ] Grammatical inference as a principal component analysis problem. [Citation Graph (, )][DBLP ] Curriculum learning. [Citation Graph (, )][DBLP ] Importance weighted active learning. [Citation Graph (, )][DBLP ] Split variational inference. [Citation Graph (, )][DBLP ] Predictive representations for policy gradient in POMDPs. [Citation Graph (, )][DBLP ] Online feature elicitation in interactive optimization. [Citation Graph (, )][DBLP ] Spectral clustering based on the graph p -Laplacian. [Citation Graph (, )][DBLP ] Active learning for directed exploration of complex systems. [Citation Graph (, )][DBLP ] Optimized expected information gain for nonlinear dynamical systems. [Citation Graph (, )][DBLP ] Probabilistic dyadic data analysis with local and global consistency. [Citation Graph (, )][DBLP ] Structure learning of Bayesian networks using constraints. [Citation Graph (, )][DBLP ] Robust bounds for classification via selective sampling. [Citation Graph (, )][DBLP ] Multi-view clustering via canonical correlation analysis. [Citation Graph (, )][DBLP ] A convex formulation for learning shared structures from multiple tasks. [Citation Graph (, )][DBLP ] Learning kernels from indefinite similarities. [Citation Graph (, )][DBLP ] Matrix updates for perceptron training of continuous density hidden Markov models. [Citation Graph (, )][DBLP ] Decision tree and instance-based learning for label ranking. [Citation Graph (, )][DBLP ] Learning dictionaries of stable autoregressive models for audio scene analysis. [Citation Graph (, )][DBLP ] Exploiting sparse Markov and covariance structure in multiresolution models. [Citation Graph (, )][DBLP ] Nonparametric estimation of the precision-recall curve. [Citation Graph (, )][DBLP ] EigenTransfer: a unified framework for transfer learning. [Citation Graph (, )][DBLP ] Fitting a graph to vector data. [Citation Graph (, )][DBLP ] Unsupervised search-based structured prediction. [Citation Graph (, )][DBLP ] Deep transfer via second-order Markov logic. [Citation Graph (, )][DBLP ] Analytic moment-based Gaussian process filtering. [Citation Graph (, )][DBLP ] Good learners for evil teachers. [Citation Graph (, )][DBLP ] A scalable framework for discovering coherent co-clusters in noisy data. [Citation Graph (, )][DBLP ] The adaptive k -meteorologists problem and its application to structure learning and feature selection in reinforcement learning. [Citation Graph (, )][DBLP ] Proximal regularization for online and batch learning. [Citation Graph (, )][DBLP ] Large margin training for hidden Markov models with partially observed states. [Citation Graph (, )][DBLP ] Accelerated sampling for the Indian Buffet Process. [Citation Graph (, )][DBLP ] Accounting for burstiness in topic models. [Citation Graph (, )][DBLP ] Domain adaptation from multiple sources via auxiliary classifiers. [Citation Graph (, )][DBLP ] Boosting with structural sparsity. [Citation Graph (, )][DBLP ] Learning to segment from a few well-selected training images. [Citation Graph (, )][DBLP ] GAODE and HAODE: two proposals based on AODE to deal with continuous variables. [Citation Graph (, )][DBLP ] A majorization-minimization algorithm for (multiple) hyperparameter learning. [Citation Graph (, )][DBLP ] Dynamic mixed membership blockmodel for evolving networks. [Citation Graph (, )][DBLP ] Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. [Citation Graph (, )][DBLP ] Sequential Bayesian prediction in the presence of changepoints. [Citation Graph (, )][DBLP ] PAC-Bayesian learning of linear classifiers. [Citation Graph (, )][DBLP ] Fast evolutionary maximum margin clustering. [Citation Graph (, )][DBLP ] Dynamic analysis of multiagent Q -learning with ε-greedy exploration. [Citation Graph (, )][DBLP ] Bayesian inference for Plackett-Luce ranking models. [Citation Graph (, )][DBLP ] Bayesian clustering for email campaign detection. [Citation Graph (, )][DBLP ] Efficient learning algorithms for changing environments. [Citation Graph (, )][DBLP ] Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search. [Citation Graph (, )][DBLP ] Partially supervised feature selection with regularized linear models. [Citation Graph (, )][DBLP ] Learning with structured sparsity. [Citation Graph (, )][DBLP ] Learning linear dynamical systems without sequence information. [Citation Graph (, )][DBLP ] Group lasso with overlap and graph lasso. [Citation Graph (, )][DBLP ] Graph construction and b -matching for semi-supervised learning. [Citation Graph (, )][DBLP ] Trajectory prediction: learning to map situations to robot trajectories. [Citation Graph (, )][DBLP ] An accelerated gradient method for trace norm minimization. [Citation Graph (, )][DBLP ] A novel lexicalized HMM-based learning framework for web opinion mining. [Citation Graph (, )][DBLP ] Orbit-product representation and correction of Gaussian belief propagation. [Citation Graph (, )][DBLP ] A Bayesian approach to protein model quality assessment. [Citation Graph (, )][DBLP ] Learning prediction suffix trees with Winnow. [Citation Graph (, )][DBLP ] Boosting products of base classifiers. [Citation Graph (, )][DBLP ] Learning Markov logic network structure via hypergraph lifting. [Citation Graph (, )][DBLP ] Near-Bayesian exploration in polynomial time. [Citation Graph (, )][DBLP ] Regularization and feature selection in least-squares temporal difference learning. [Citation Graph (, )][DBLP ] The graphlet spectrum. [Citation Graph (, )][DBLP ] Rule learning with monotonicity constraints. [Citation Graph (, )][DBLP ] Multiple indefinite kernel learning with mixed norm regularization. [Citation Graph (, )][DBLP ] On sampling-based approximate spectral decomposition. [Citation Graph (, )][DBLP ] Learning spectral graph transformations for link prediction. [Citation Graph (, )][DBLP ] Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. [Citation Graph (, )][DBLP ] Generalization analysis of listwise learning-to-rank algorithms. [Citation Graph (, )][DBLP ] Approximate inference for planning in stochastic relational worlds. [Citation Graph (, )][DBLP ] Learning nonlinear dynamic models. [Citation Graph (, )][DBLP ] Non-linear matrix factorization with Gaussian processes. [Citation Graph (, )][DBLP ] Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. [Citation Graph (, )][DBLP ] Transfer learning for collaborative filtering via a rating-matrix generative model. [Citation Graph (, )][DBLP ] ABC-boost: adaptive base class boost for multi-class classification. [Citation Graph (, )][DBLP ] Semi-supervised learning using label mean. [Citation Graph (, )][DBLP ] Learning from measurements in exponential families. [Citation Graph (, )][DBLP ] Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. [Citation Graph (, )][DBLP ] Efficient Euclidean projections in linear time. [Citation Graph (, )][DBLP ] Topic-link LDA: joint models of topic and author community. [Citation Graph (, )][DBLP ] Geometry-aware metric learning. [Citation Graph (, )][DBLP ] Identifying suspicious URLs: an application of large-scale online learning. [Citation Graph (, )][DBLP ] Online dictionary learning for sparse coding. [Citation Graph (, )][DBLP ] Proto-predictive representation of states with simple recurrent temporal-difference networks. [Citation Graph (, )][DBLP ] Sparse Gaussian graphical models with unknown block structure. [Citation Graph (, )][DBLP ] Polyhedral outer approximations with application to natural language parsing. [Citation Graph (, )][DBLP ] Partial order embedding with multiple kernels. [Citation Graph (, )][DBLP ] Bandit-based optimization on graphs with application to library performance tuning. [Citation Graph (, )][DBLP ] Deep learning from temporal coherence in video. [Citation Graph (, )][DBLP ] Regression by dependence minimization and its application to causal inference in additive noise models. [Citation Graph (, )][DBLP ] Learning complex motions by sequencing simpler motion templates. [Citation Graph (, )][DBLP ] Convex variational Bayesian inference for large scale generalized linear models. [Citation Graph (, )][DBLP ] Solution stability in linear programming relaxations: graph partitioning and unsupervised learning. [Citation Graph (, )][DBLP ] Nonparametric factor analysis with beta process priors. [Citation Graph (, )][DBLP ] Unsupervised hierarchical modeling of locomotion styles. [Citation Graph (, )][DBLP ] Binary action search for learning continuous-action control policies. [Citation Graph (, )][DBLP ] Detecting the direction of causal time series. [Citation Graph (, )][DBLP ] Constraint relaxation in approximate linear programs. [Citation Graph (, )][DBLP ] Multi-class image segmentation using conditional random fields and global classification. [Citation Graph (, )][DBLP ] Learning when to stop thinking and do something! [Citation Graph (, )][DBLP ] Independent factor topic models. [Citation Graph (, )][DBLP ] An efficient sparse metric learning in high-dimensional space via l 1 -penalized log-determinant regularization. [Citation Graph (, )][DBLP ] Sparse higher order conditional random fields for improved sequence labeling. [Citation Graph (, )][DBLP ] An efficient projection for l 1 ,infinity regularization. [Citation Graph (, )][DBLP ] Nearest neighbors in high-dimensional data: the emergence and influence of hubs. [Citation Graph (, )][DBLP ] Large-scale deep unsupervised learning using graphics processors. [Citation Graph (, )][DBLP ] The Bayesian group-Lasso for analyzing contingency tables. [Citation Graph (, )][DBLP ] Supervised learning from multiple experts: whom to trust when everyone lies a bit. [Citation Graph (, )][DBLP ] Surrogate regret bounds for proper losses. [Citation Graph (, )][DBLP ] Learning structurally consistent undirected probabilistic graphical models. [Citation Graph (, )][DBLP ] Ranking interesting subgroups. [Citation Graph (, )][DBLP ] Function factorization using warped Gaussian processes. [Citation Graph (, )][DBLP ] Stochastic methods for l 1 regularized loss minimization. [Citation Graph (, )][DBLP ] Structure preserving embedding. [Citation Graph (, )][DBLP ] Monte-Carlo simulation balancing. [Citation Graph (, )][DBLP ] Uncertainty sampling and transductive experimental design for active dual supervision. [Citation Graph (, )][DBLP ] Hilbert space embeddings of conditional distributions with applications to dynamical systems. [Citation Graph (, )][DBLP ] Multi-assignment clustering for Boolean data. [Citation Graph (, )][DBLP ] A least squares formulation for a class of generalized eigenvalue problems in machine learning. [Citation Graph (, )][DBLP ] A simpler unified analysis of budget perceptrons. [Citation Graph (, )][DBLP ] Fast gradient-descent methods for temporal-difference learning with linear function approximation. [Citation Graph (, )][DBLP ] Optimistic initialization and greediness lead to polynomial time learning in factored MDPs. [Citation Graph (, )][DBLP ] Discriminative k -metrics. [Citation Graph (, )][DBLP ] Kernelized value function approximation for reinforcement learning. [Citation Graph (, )][DBLP ] Factored conditional restricted Boltzmann Machines for modeling motion style. [Citation Graph (, )][DBLP ] Using fast weights to improve persistent contrastive divergence. [Citation Graph (, )][DBLP ] Structure learning with independent non-identically distributed data. [Citation Graph (, )][DBLP ] Robot trajectory optimization using approximate inference. [Citation Graph (, )][DBLP ] Ranking with ordered weighted pairwise classification. [Citation Graph (, )][DBLP ] More generality in efficient multiple kernel learning. [Citation Graph (, )][DBLP ] Information theoretic measures for clusterings comparison: is a correction for chance necessary? [Citation Graph (, )][DBLP ] Model-free reinforcement learning as mixture learning. [Citation Graph (, )][DBLP ] BoltzRank: learning to maximize expected ranking gain. [Citation Graph (, )][DBLP ] K-means in space: a radiation sensitivity evaluation. [Citation Graph (, )][DBLP ] Evaluation methods for topic models. [Citation Graph (, )][DBLP ] Feature hashing for large scale multitask learning. [Citation Graph (, )][DBLP ] Herding dynamical weights to learn. [Citation Graph (, )][DBLP ] A stochastic memoizer for sequence data. [Citation Graph (, )][DBLP ] Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. [Citation Graph (, )][DBLP ] Non-monotonic feature selection. [Citation Graph (, )][DBLP ] Online learning by ellipsoid method. [Citation Graph (, )][DBLP ] Stochastic search using the natural gradient. [Citation Graph (, )][DBLP ] Learning structural SVMs with latent variables. [Citation Graph (, )][DBLP ] Piecewise-stationary bandit problems with side observations. [Citation Graph (, )][DBLP ] Large-scale collaborative prediction using a nonparametric random effects model. [Citation Graph (, )][DBLP ] Robust feature extraction via information theoretic learning. [Citation Graph (, )][DBLP ] Interactively optimizing information retrieval systems as a dueling bandits problem. [Citation Graph (, )][DBLP ] Compositional noisy-logical learning. [Citation Graph (, )][DBLP ] Discovering options from example trajectories. [Citation Graph (, )][DBLP ] Learning instance specific distances using metric propagation. [Citation Graph (, )][DBLP ] Prototype vector machine for large scale semi-supervised learning. [Citation Graph (, )][DBLP ] Learning non-redundant codebooks for classifying complex objects. [Citation Graph (, )][DBLP ] Multi-instance learning by treating instances as non-I.I.D. samples. [Citation Graph (, )][DBLP ] MedLDA: maximum margin supervised topic models for regression and classification. [Citation Graph (, )][DBLP ] On primal and dual sparsity of Markov networks. [Citation Graph (, )][DBLP ] SimpleNPKL: simple non-parametric kernel learning. [Citation Graph (, )][DBLP ] Invited talk: Can learning kernels help performance? [Citation Graph (, )][DBLP ] Invited talk: Drifting games, boosting and online learning. [Citation Graph (, )][DBLP ] Workshop summary: Seventh annual workshop on Bayes applications. [Citation Graph (, )][DBLP ] Workshop summary: Automated interpretation and modelling of cell images. [Citation Graph (, )][DBLP ] Workshop summary: Workshop on learning feature hierarchies. [Citation Graph (, )][DBLP ] Workshop summary: Results of the 2009 reinforcement learning competition. [Citation Graph (, )][DBLP ] Workshop summary: The fourth workshop on evaluation methods for machine learning. [Citation Graph (, )][DBLP ] Workshop summary: On-line learning with limited feedback. [Citation Graph (, )][DBLP ] Workshop summary: Numerical mathematics in machine learning. [Citation Graph (, )][DBLP ] Workshop summary: Abstraction in reinforcement learning. [Citation Graph (, )][DBLP ] Workshop summary: Sparse methods for music audio. [Citation Graph (, )][DBLP ] Tutorial summary: Reductions in machine learning. [Citation Graph (, )][DBLP ] Tutorial summary: Convergence of natural dynamics to equilibria. [Citation Graph (, )][DBLP ] Tutorial summary: Learning with dependencies between several response variables. [Citation Graph (, )][DBLP ] Tutorial summary: Survey of boosting from an optimization perspective. [Citation Graph (, )][DBLP ] Tutorial summary: The neuroscience of reinforcement learning. [Citation Graph (, )][DBLP ] Tutorial summary: Machine learning in IR: recent successes and new opportunities. [Citation Graph (, )][DBLP ] Tutorial summary: Active learning. [Citation Graph (, )][DBLP ] Tutorial summary: Large social and information networks: opportunities for ML. [Citation Graph (, )][DBLP ] Tutorial summary: Structured prediction for natural language processing. [Citation Graph (, )][DBLP ] 