Papers
8,340 papers found
Learnability of the Superset Label Learning Problem
Liping Liu, Thomas Dietterich
Learning by Stretching Deep Networks
Gaurav Pandey, Ambedkar Dukkipati
Learning Character-level Representations for Part-of-Speech Tagging
Cicero Dos Santos, Bianca Zadrozny
Learning Complex Neural Network Policies with Trajectory Optimization
Sergey Levine, Vladlen Koltun
Learning from Contagion (Without Timestamps)
Kareem Amin, Hoda Heidari, Michael Kearns
Learning Graphs with a Few Hubs
Rashish Tandon, Pradeep Ravikumar
Learning Latent Variable Gaussian Graphical Models
Zhaoshi Meng, Brian Eriksson, Al Hero
Learning Mixtures of Linear Classifiers
Yuekai Sun, Stratis Ioannidis, Andrea Montanari
Learning Modular Structures from Network Data and Node Variables
Elham Azizi, Edoardo Airoldi, James Galagan
Learning Ordered Representations with Nested Dropout
Oren Rippel, Michael Gelbart, Ryan Adams
Learning Polynomials with Neural Networks
Alexandr Andoni, Rina Panigrahy, Gregory Valiant et al.
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
Amirmohammad Rooshenas, Daniel Lowd
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin et al.
Learning the Irreducible Representations of Commutative Lie Groups
Taco Cohen, Max Welling
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve
Mehryar Mohri, Andres Munoz Medina
Learning the Parameters of Determinantal Point Process Kernels
Raja Hafiz Affandi, Emily Fox, Ryan Adams et al.
Learning to Disentangle Factors of Variation with Manifold Interaction
Scott Reed, Kihyuk Sohn, Yuting Zhang et al.
Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis et al.
Linear and Parallel Learning of Markov Random Fields
Yariv Mizrahi, Misha Denil, Nando De Freitas
Linear Programming for Large-Scale Markov Decision Problems
Alan Malek, Yasin Abbasi-Yadkori, Peter Bartlett
Linear Time Solver for Primal SVM
Feiping Nie, Yizhen Huang, Heng Huang
Local algorithms for interactive clustering
Pranjal Awasthi, Maria Balcan, Konstantin Voevodski
Local Ordinal Embedding
Yoshikazu Terada, Ulrike Luxburg
Low-density Parity Constraints for Hashing-Based Discrete Integration
Stefano Ermon, Carla Gomes, Ashish Sabharwal et al.
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians
Christopher Tosh, Sanjoy Dasgupta