Papers
4,122 papers found
Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models
Jüri Lember, Alexey A. Koloydenko
Causal Discovery with Continuous Additive Noise Models
Jonas Peters, Joris M. Mooij, Dominik Janzing et al.
Classifier Cascades and Trees for Minimizing Feature Evaluation Cost
Zhixiang (Eddie) Xu, Matt J. Kusner, Kilian Q. Weinberger et al.
Clustering Hidden Markov Models with Variational HEM
Emanuele Coviello, Antoni B. Chan, Gert R.G. Lanckriet
Clustering Partially Observed Graphs via Convex Optimization
Yudong Chen, Ali Jalali, Sujay Sanghavi et al.
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation
Nguyen Viet Cuong, Nan Ye, Wee Sun Lee et al.
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard, Andrea Montanari
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
Stefan Wager, Trevor Hastie, Bradley Efron
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
Aleksandr Aravkin, James V. Burke, Alessandro Chiuso et al.
Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos
Camille Couprie, Clément Farabet, Laurent Najman et al.
Cover Tree Bayesian Reinforcement Learning
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Detecting Click Fraud in Online Advertising: A Data Mining Approach
Richard Oentaryo, Ee-Peng Lim, Michael Finegold et al.
Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?
Manuel Fernández-Delgado, Eva Cernadas, Senén Barro et al.
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky et al.
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data
Tyler Lu, Craig Boutilier
Effective String Processing and Matching for Author Disambiguation
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan et al.
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions
Amit Dhurandhar, Marek Petrik
Efficient Learning and Planning with Compressed Predictive States
William Hamilton, Mahdi Milani Fard, Joelle Pineau
Efficient Occlusive Components Analysis
Marc Henniges, Richard E. Turner, Maneesh Sahani et al.
Efficient State-Space Inference of Periodic Latent Force Models
Steven Reece, Siddhartha Ghosh, Alex Rogers et al.
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines
Marc Claesen, Frank De Smet, Johan A.K. Suykens et al.
Expectation Propagation for Neural Networks with Sparsity-Promoting Priors
Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari