Conferences in DBLP
The Role of Machine Learning in Business Optimization. [Citation Graph (, )][DBLP ] FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model. [Citation Graph (, )][DBLP ] Discriminative Latent Variable Models for Object Detection. [Citation Graph (, )][DBLP ] Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. [Citation Graph (, )][DBLP ] Music Plus One and Machine Learning. [Citation Graph (, )][DBLP ] Climbing the Tower of Babel: Unsupervised Multilingual Learning. [Citation Graph (, )][DBLP ] Detecting Large-Scale System Problems by Mining Console Logs. [Citation Graph (, )][DBLP ] Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. [Citation Graph (, )][DBLP ] Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm. [Citation Graph (, )][DBLP ] Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process. [Citation Graph (, )][DBLP ] Robust Formulations for Handling Uncertainty in Kernel Matrices. [Citation Graph (, )][DBLP ] Active Learning for Networked Data. [Citation Graph (, )][DBLP ] Distance dependent Chinese restaurant processes. [Citation Graph (, )][DBLP ] Causal filter selection in microarray data. [Citation Graph (, )][DBLP ] Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences. [Citation Graph (, )][DBLP ] A Theoretical Analysis of Feature Pooling in Visual Recognition. [Citation Graph (, )][DBLP ] Multi-agent Learning Experiments on Repeated Matrix Games. [Citation Graph (, )][DBLP ] Learning Tree Conditional Random Fields. [Citation Graph (, )][DBLP ] Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering. [Citation Graph (, )][DBLP ] Fast boosting using adversarial bandits. [Citation Graph (, )][DBLP ] Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process. [Citation Graph (, )][DBLP ] Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains. [Citation Graph (, )][DBLP ] The Elastic Embedding Algorithm for Dimensionality Reduction. [Citation Graph (, )][DBLP ] Random Spanning Trees and the Prediction of Weighted Graphs. [Citation Graph (, )][DBLP ] Efficient Learning with Partially Observed Attributes. [Citation Graph (, )][DBLP ] Convergence, Targeted Optimality, and Safety in Multiagent Learning. [Citation Graph (, )][DBLP ] Structured Output Learning with Indirect Supervision. [Citation Graph (, )][DBLP ] Dynamical Products of Experts for Modeling Financial Time Series. [Citation Graph (, )][DBLP ] Label Ranking Methods based on the Plackett-Luce Model. [Citation Graph (, )][DBLP ] Graded Multilabel Classification: The Ordinal Case. [Citation Graph (, )][DBLP ] Comparing Clusterings in Space. [Citation Graph (, )][DBLP ] Two-Stage Learning Kernel Algorithms. [Citation Graph (, )][DBLP ] Generalization Bounds for Learning Kernels. [Citation Graph (, )][DBLP ] Fast Neighborhood Subgraph Pairwise Distance Kernel. [Citation Graph (, )][DBLP ] Mining Clustering Dimensions. [Citation Graph (, )][DBLP ] Bottom-Up Learning of Markov Network Structure. [Citation Graph (, )][DBLP ] Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. [Citation Graph (, )][DBLP ] A Conditional Random Field for Multiple-Instance Learning. [Citation Graph (, )][DBLP ] Asymptotic Analysis of Generative Semi-Supervised Learning. [Citation Graph (, )][DBLP ] Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing. [Citation Graph (, )][DBLP ] Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda. [Citation Graph (, )][DBLP ] High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models. [Citation Graph (, )][DBLP ] On the Consistency of Ranking Algorithms. [Citation Graph (, )][DBLP ] Inverse Optimal Control with Linearly-Solvable MDPs. [Citation Graph (, )][DBLP ] Continuous-Time Belief Propagation. [Citation Graph (, )][DBLP ] Nonparametric Information Theoretic Clustering Algorithm. [Citation Graph (, )][DBLP ] Feature Selection as a One-Player Game. [Citation Graph (, )][DBLP ] Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. [Citation Graph (, )][DBLP ] A Language-based Approach to Measuring Scholarly Impact. [Citation Graph (, )][DBLP ] Boosting Classifiers with Tightened L0-Relaxation Penalties. [Citation Graph (, )][DBLP ] Budgeted Nonparametric Learning from Data Streams. [Citation Graph (, )][DBLP ] Learning Fast Approximations of Sparse Coding. [Citation Graph (, )][DBLP ] Boosted Backpropagation Learning for Training Deep Modular Networks. [Citation Graph (, )][DBLP ] Interactive Submodular Set Cover. [Citation Graph (, )][DBLP ] Large Scale Max-Margin Multi-Label Classification with Priors. [Citation Graph (, )][DBLP ] Active Learning for Multi-Task Adaptive Filtering. [Citation Graph (, )][DBLP ] Bayesian Nonparametric Matrix Factorization for Recorded Music. [Citation Graph (, )][DBLP ] Multi-Task Learning of Gaussian Graphical Models. [Citation Graph (, )][DBLP ] Learning Hierarchical Riffle Independent Groupings from Rankings. [Citation Graph (, )][DBLP ] On learning with kernels for unordered pairs. [Citation Graph (, )][DBLP ] A Simple Algorithm for Nuclear Norm Regularized Problems. [Citation Graph (, )][DBLP ] Telling cause from effect based on high-dimensional observations. [Citation Graph (, )][DBLP ] Proximal Methods for Sparse Hierarchical Dictionary Learning. [Citation Graph (, )][DBLP ] 3D Convolutional Neural Networks for Human Action Recognition. [Citation Graph (, )][DBLP ] Accelerated dual decomposition for MAP inference. [Citation Graph (, )][DBLP ] Efficient Selection of Multiple Bandit Arms: Theory and Practice. [Citation Graph (, )][DBLP ] A scalable trust-region algorithm with application to mixed-norm regression. [Citation Graph (, )][DBLP ] Local Minima Embedding. [Citation Graph (, )][DBLP ] Gaussian Processes Multiple Instance Learning. [Citation Graph (, )][DBLP ] Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity. [Citation Graph (, )][DBLP ] Learning Markov Logic Networks Using Structural Motifs. [Citation Graph (, )][DBLP ] On Sparse Nonparametric Conditional Covariance Selection. [Citation Graph (, )][DBLP ] Submodular Dictionary Selection for Sparse Representation. [Citation Graph (, )][DBLP ] Implicit Online Learning. [Citation Graph (, )][DBLP ] Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds. [Citation Graph (, )][DBLP ] Supervised Aggregation of Classifiers using Artificial Prediction Markets. [Citation Graph (, )][DBLP ] Bayesian Multi-Task Reinforcement Learning. [Citation Graph (, )][DBLP ] Analysis of a Classification-based Policy Iteration Algorithm. [Citation Graph (, )][DBLP ] Finite-Sample Analysis of LSTD. [Citation Graph (, )][DBLP ] A fast natural Newton method. [Citation Graph (, )][DBLP ] Making Large-Scale Nyström Approximation Possible. [Citation Graph (, )][DBLP ] Learning Programs: A Hierarchical Bayesian Approach. [Citation Graph (, )][DBLP ] On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning. [Citation Graph (, )][DBLP ] Power Iteration Clustering. [Citation Graph (, )][DBLP ] Robust Subspace Segmentation by Low-Rank Representation. [Citation Graph (, )][DBLP ] Robust Graph Mode Seeking by Graph Shift. [Citation Graph (, )][DBLP ] Large Graph Construction for Scalable Semi-Supervised Learning. [Citation Graph (, )][DBLP ] Learning Temporal Causal Graphs for Relational Time-Series Analysis. [Citation Graph (, )][DBLP ] Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. [Citation Graph (, )][DBLP ] Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate. [Citation Graph (, )][DBLP ] Mixed Membership Matrix Factorization. [Citation Graph (, )][DBLP ] Toward Off-Policy Learning Control with Function Approximation. [Citation Graph (, )][DBLP ] Constructing States for Reinforcement Learning. [Citation Graph (, )][DBLP ] Deep learning via Hessian-free optimization. [Citation Graph (, )][DBLP ] Learning the Linear Dynamical System with ASOS. [Citation Graph (, )][DBLP ] From Transformation-Based Dimensionality Reduction to Feature Selection. [Citation Graph (, )][DBLP ] Risk minimization, probability elicitation, and cost-sensitive SVMs. [Citation Graph (, )][DBLP ] Exploiting Data-Independence for Fast Belief-Propagation. [Citation Graph (, )][DBLP ] Metric Learning to Rank. [Citation Graph (, )][DBLP ] Learning Efficiently with Approximate Inference via Dual Losses. [Citation Graph (, )][DBLP ] Deep Supervised t-Distributed Embedding. [Citation Graph (, )][DBLP ] Nonparametric Return Distribution Approximation for Reinforcement Learning. [Citation Graph (, )][DBLP ] Rectified Linear Units Improve Restricted Boltzmann Machines. [Citation Graph (, )][DBLP ] Implicit Regularization in Variational Bayesian Matrix Factorization. [Citation Graph (, )][DBLP ] Estimation of (near) low-rank matrices with noise and high-dimensional scaling. [Citation Graph (, )][DBLP ] Multiple Non-Redundant Spectral Clustering Views. [Citation Graph (, )][DBLP ] Multiagent Inductive Learning: an Argumentation-based Approach. [Citation Graph (, )][DBLP ] A Stick-Breaking Construction of the Beta Process. [Citation Graph (, )][DBLP ] The Margin Perceptron with Unlearning. [Citation Graph (, )][DBLP ] Boosting for Regression Transfer. [Citation Graph (, )][DBLP ] Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. [Citation Graph (, )][DBLP ] Budgeted Distribution Learning of Belief Net Parameters. [Citation Graph (, )][DBLP ] Variable Selection in Model-Based Clustering: To Do or To Facilitate. [Citation Graph (, )][DBLP ] Approximate Predictive Representations of Partially Observable Systems. [Citation Graph (, )][DBLP ] Spherical Topic Models. [Citation Graph (, )][DBLP ] SVM Classifier Estimation from Group Probabilities. [Citation Graph (, )][DBLP ] Clustering processes. [Citation Graph (, )][DBLP ] Gaussian Process Change Point Models. [Citation Graph (, )][DBLP ] Online Prediction with Privacy. [Citation Graph (, )][DBLP ] Learning Deep Boltzmann Machines using Adaptive MCMC. [Citation Graph (, )][DBLP ] Active Risk Estimation. [Citation Graph (, )][DBLP ] Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view. [Citation Graph (, )][DBLP ] Gaussian Covariance and Scalable Variational Inference. [Citation Graph (, )][DBLP ] Application of Machine Learning To Epileptic Seizure Detection. [Citation Graph (, )][DBLP ] Learning optimally diverse rankings over large document collections. [Citation Graph (, )][DBLP ] Hilbert Space Embeddings of Hidden Markov Models. [Citation Graph (, )][DBLP ] COFFIN: A Computational Framework for Linear SVMs. [Citation Graph (, )][DBLP ] Internal Rewards Mitigate Agent Boundedness. [Citation Graph (, )][DBLP ] Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design. [Citation Graph (, )][DBLP ] Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes. [Citation Graph (, )][DBLP ] Model-based reinforcement learning with nearly tight exploration complexity bounds. [Citation Graph (, )][DBLP ] Total Variation, Cheeger Cuts. [Citation Graph (, )][DBLP ] Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets. [Citation Graph (, )][DBLP ] Deep networks for robust visual recognition. [Citation Graph (, )][DBLP ] A DC Programming Approach for Sparse Eigenvalue Problem. [Citation Graph (, )][DBLP ] Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems. [Citation Graph (, )][DBLP ] An Analysis of the Convergence of Graph Laplacians. [Citation Graph (, )][DBLP ] A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices. [Citation Graph (, )][DBLP ] One-sided Support Vector Regression for Multiclass Cost-sensitive Classification. [Citation Graph (, )][DBLP ] Non-Local Contrastive Objectives. [Citation Graph (, )][DBLP ] The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data. [Citation Graph (, )][DBLP ] Generalizing Apprenticeship Learning across Hypothesis Classes. [Citation Graph (, )][DBLP ] Sequential Projection Learning for Hashing with Compact Codes. [Citation Graph (, )][DBLP ] A New Analysis of Co-Training. [Citation Graph (, )][DBLP ] Multi-Class Pegasos on a Budget. [Citation Graph (, )][DBLP ] The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. [Citation Graph (, )][DBLP ] Online Streaming Feature Selection. [Citation Graph (, )][DBLP ] Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration. [Citation Graph (, )][DBLP ] Simple and Efficient Multiple Kernel Learning by Group Lasso. [Citation Graph (, )][DBLP ] Sparse Gaussian Process Regression via L1 Penalization. [Citation Graph (, )][DBLP ] Online Learning for Group Lasso. [Citation Graph (, )][DBLP ] Learning from Noisy Side Information by Generalized Maximum Entropy Model. [Citation Graph (, )][DBLP ] Convergence of Least Squares Temporal Difference Methods Under General Conditions. [Citation Graph (, )][DBLP ] Improved Local Coordinate Coding using Local Tangents. [Citation Graph (, )][DBLP ] Projection Penalties: Dimension Reduction without Loss. [Citation Graph (, )][DBLP ] OTL: A Framework of Online Transfer Learning. [Citation Graph (, )][DBLP ] Conditional Topic Random Fields. [Citation Graph (, )][DBLP ] Cognitive Models of Test-Item Effects in Human Category Learning. [Citation Graph (, )][DBLP ] Modeling Interaction via the Principle of Maximum Causal Entropy. [Citation Graph (, )][DBLP ] 