Papers
Decrypting “Cryptogenic” Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients
Bilal Ahmed, Thomas Thesen, Karen E. Blackmon et al.
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models
Yohann De Castro, Élisabeth Gassiat, Claire Lacour
Are Random Forests Truly the Best Classifiers?
Michael Wainberg, Babak Alipanahi, Brendan J. Frey
Monotonic Calibrated Interpolated Look-Up Tables
Maya Gupta, Andrew Cotter, Jan Pfeifer et al.
Distribution-Matching Embedding for Visual Domain Adaptation
Mahsa Baktashmotlagh, Mehrtash Harandi, Mathieu Salzmann
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
Hoo-Chang Shin, Le Lu, Lauren Kim et al.
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
Neeraja J. Yadwadkar, Bharath Hariharan, Joseph E. Gonzalez et al.
Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alexander J. Smola et al.
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem
Marcela Zuluaga, Andreas Krause, Markus Püschel
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
Aki Vehtari, Tommi Mononen, Ville Tolvanen et al.
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Dengyong Zhou et al.
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling
Ru He, Jin Tian, Huaiqing Wu
Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models
Zijian Guo, Dylan S. Small
How to Center Deep Boltzmann Machines
Jan Melchior, Asja Fischer, Laurenz Wiskott
Learning Taxonomy Adaptation in Large-scale Classification
Rohit Babbar, Ioannis Partalas, Eric Gaussier et al.
Cells in Multidimensional Recurrent Neural Networks
Gundram Leifert, Tobias Strauß, Tobias Grüning et al.
JCLAL: A Java Framework for Active Learning
Oscar Reyes, Eduardo Pérez, María del Carmen Rodríguez-Hernández et al.
Convex Regression with Interpretable Sharp Partitions
Ashley Petersen, Noah Simon, Daniela Witten
Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann, Oliver Kroemer et al.
Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices
Dan Yang, Zongming Ma, Andreas Buja
Rounding-based Moves for Semi-Metric Labeling
M. Pawan Kumar, Puneet K. Dokania
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm
Manuel Gomez-Rodriguez, Le Song, Hadi Daneshm et al.
Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes
Xin Guo, Jun Fan, Ding-Xuan Zhou