2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Stability and Generalization in Structured Prediction
|
Ben London, Bert Huang, Lise Getoor |
Journal of Machine Learning Research |
|
|
PAC-Bayes, generalization bounds, learning theory, structured prediction |
2016 |
Unsupervised Models for Predicting Strategic Relations between Organizations
|
Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff |
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining |
PDF
|
|
|
2016 |
Unsupervised Models for Predicting Strategic Relations between Organizations
|
Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff |
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining |
PDF
|
|
|
2016 |
Unsupervised Models for Predicting Strategic Relations between Organizations
|
Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff |
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining |
PDF
|
|
|
2016 |
Unsupervised Models for Predicting Strategic Relations between Organizations
|
Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff |
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining |
PDF
|
|
|
2016 |
Unsupervised Models for Predicting Strategic Relations between Organizations
|
Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff |
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining |
PDF
|
|
|
2016 |
Unsupervised Models for Predicting Strategic Relations between Organizations
|
Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff |
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining |
PDF
|
|
|
2015 |
The Benefits of Learning with Strongly Convex Approximate Inference
|
Ben London, Bert Huang, Lise Getoor |
International Conference on Machine Learning (ICML) |
PDF
|
|
|
2015 |
The Benefits of Learning with Strongly Convex Approximate Inference
|
Ben London, Bert Huang, Lise Getoor |
International Conference on Machine Learning (ICML) |
PDF
|
|
|
2015 |
The Benefits of Learning with Strongly Convex Approximate Inference
|
Ben London, Bert Huang, Lise Getoor |
International Conference on Machine Learning (ICML) |
PDF
|
|
|
2015 |
Budgeted Online Collective Inference
|
Jay Pujara, Ben London, Lise Getoor |
Uncertainty in Artificial Intelligence |
PDF
|
|
|
2015 |
Budgeted Online Collective Inference
|
Jay Pujara, Ben London, Lise Getoor |
Uncertainty in Artificial Intelligence |
PDF
|
|
|
2015 |
Budgeted Online Collective Inference
|
Jay Pujara, Ben London, Lise Getoor |
Uncertainty in Artificial Intelligence |
PDF
|
|
|
2015 |
Collective Graph Identification
|
Galileo Namata, Ben London, Lise Getoor |
ACM Transactions on Knowledge Discovery from Data |
PDF
|
|
|
2015 |
Collective Graph Identification
|
Galileo Namata, Ben London, Lise Getoor |
ACM Transactions on Knowledge Discovery from Data |
PDF
|
|
|
2015 |
Collective Graph Identification
|
Galileo Namata, Ben London, Lise Getoor |
ACM Transactions on Knowledge Discovery from Data |
PDF
|
|
|
2015 |
Collective Spammer Detection in Evolving Multi-Relational Social Networks
|
Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor |
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) |
PDF
|
|
|
2015 |
Collective Spammer Detection in Evolving Multi-Relational Social Networks
|
Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor |
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) |
PDF
|
|
|
2015 |
Collective Spammer Detection in Evolving Multi-Relational Social Networks
|
Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor |
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) |
PDF
|
|
|
2015 |
Collective Spammer Detection in Evolving Multi-Relational Social Networks
|
Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor |
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) |
PDF
|
|
|