Papers
2,383 papers found
t-logistic regression
Nan Ding, S.v.n. Vishwanathan
The Doubly Correlated Nonparametric Topic Model
Dae I. Kim, Erik B. Sudderth
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume R. Obozinski, Francis R. Bach
PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, John S. Shawe-taylor et al.
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard, Gyemin Lee, Clayton Scott
Contextual Gaussian Process Bandit Optimization
Andreas Krause, Cheng S. Ong
Gaussian process modulated renewal processes
Yee W. Teh, Vinayak Rao
A latent factor model for highly multi-relational data
Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes et al.
Rational inference of relative preferences
Nisheeth Srivastava, Paul R. Schrater
Kernel Latent SVM for Visual Recognition
Weilong Yang, Yang Wang, Arash Vahdat et al.
Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran et al.
A New Convex Relaxation for Tensor Completion
Bernardino Romera-Paredes, Massimiliano Pontil
Conditional Swap Regret and Conditional Correlated Equilibrium
Mehryar Mohri, Scott Yang
Repeated Contextual Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
On the relations of LFPs & Neural Spike Trains
David E Carlson, Jana Schaich Borg, Kafui Dzirasa et al.
Regressive Virtual Metric Learning
Michaël Perrot, Amaury Habrard
Testing Closeness With Unequal Sized Samples
Bhaswar Bhattacharya, Gregory Valiant
Towards Conceptual Compression
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.
DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang, David B Dunson, Chenlei Leng
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy et al.
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph, Michael Kearns, Jamie H Morgenstern et al.
Linear Contextual Bandits with Knapsacks
Shipra Agrawal, Nikhil Devanur
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong et al.
Sharpness, Restart and Acceleration
Vincent Roulet, Alexandre d'Aspremont
Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang, Wei Han et al.