Papers
2,716 papers found
The Noisy-Logical Distribution and its Application to Causal Inference
Alan L. Yuille, Hongjing Lu
Competition Adds Complexity
Judy Goldsmith, Martin Mundhenk
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger, Olivier Chapelle
Matrix Completion from Noisy Entries
Raghunandan Keshavan, Andrea Montanari, Sewoong Oh
Gaussian Process Preference Elicitation
Shengbo Guo, Scott Sanner, Edwin V. Bonilla
Gated Softmax Classification
Roland Memisevic, Christopher Zach, Marc Pollefeys et al.
The Maximal Causes of Natural Scenes are Edge Filters
Jose Puertas, Joerg Bornschein, Jörg Lücke
Energy Disaggregation via Discriminative Sparse Coding
J. Z. Kolter, Siddharth Batra, Andrew Y. Ng
Occlusion Detection and Motion Estimation with Convex Optimization
Alper Ayvaci, Michalis Raptis, Stefano Soatto
CUR from a Sparse Optimization Viewpoint
Jacob Bien, Ya Xu, Michael W. Mahoney
A rational model of causal inference with continuous causes
Thomas L. Griffiths, Michael James
Imitation Learning by Coaching
He He, Jason Eisner, Hal Daume
Graphical Gaussian Vector for Image Categorization
Tatsuya Harada, Yasuo Kuniyoshi
Calibrated Elastic Regularization in Matrix Completion
Tingni Sun, Cun-hui Zhang
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki et al.
Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Sparse Inverse Covariance Estimation with Calibration
Tuo Zhao, Han Liu
Causal Inference through a Witness Protection Program
Ricardo Silva, Robin Evans
Multivariate Regression with Calibration
Han Liu, Lie Wang, Tuo Zhao
Partition-wise Linear Models
Hidekazu Oiwa, Ryohei Fujimaki
Sparse Local Embeddings for Extreme Multi-label Classification
Kush Bhatia, Himanshu Jain, Purushottam Kar et al.
Calibrated Structured Prediction
Volodymyr Kuleshov, Percy Liang
Private Graphon Estimation for Sparse Graphs
Christian Borgs, Jennifer Chayes, Adam Smith
Community Detection via Measure Space Embedding
Mark Kozdoba, Shie Mannor