Papers
Entropy Coding of Spectral Envelopes for Speech and Audio Coding Using Distribution Quantization
Srikanth Korse, Tobias Jähnel, Tom Bäckström
Enumerating Equivalence Classes of Bayesian Networks using EC Graphs
Eunice Yuh-Jie Chen, Arthur Choi Choi, Adnan Darwiche
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem
Marcela Zuluaga, Andreas Krause, Markus Püschel
Epigraph projections for fast general convex programming
Po-Wei Wang, Matt Wytock, Zico Kolter
Epistemic Boolean Games Based on a Logic of Visibility and Control
Andreas Herzig, Emiliano Lorini, Faustine Maffre et al.
Epistemic GDL: A Logic for Representing and Reasoning about Imperfect Information Games
Guifei Jiang, Dongmo Zhang, Laurent Perrussel et al.
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, ecprice et al.
Equation Parsing : Mapping Sentences to Grounded Equations
Subhro Roy, Shyam Upadhyay, Dan Roth
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis
Yuhui Quan, Chenglong Bao, Hui Ji
Equivalent Stream Reasoning Programs
Harald Beck, Minh Dao-Tran, Thomas Eiter
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics
Shivaram Venkataraman, Zongheng Yang, Michael Franklin et al.
2016
NSDI
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm
Ery Arias-Castro, David Mason, Bruno Pelletier
Error Analysis of Generalized Nyström Kernel Regression
Hong Chen, Haifeng Xia, Heng Huang et al.
Error Correction in Lightly Supervised Alignment of Broadcast Subtitles
Julia Olcoz, Oscar Saz, Thomas Hain
Estimating Accuracy from Unlabeled Data: A Bayesian Approach
Emmanouil Antonios Platanios, Avinava Dubey, Tom Mitchell
Estimating Causal Effects with Ancestral Graph Markov Models
Daniel Malinsky, Peter Spirtes
Estimating Causal Structure Using Conditional DAG Models
Chris. J. Oates, Jim Q. Smith, Sach Mukherjee
Estimating Correspondences of Deformable Objects "In-The-Wild"
Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina et al.
Estimating Cosmological Parameters from the Dark Matter Distribution
Siamak Ravanbakhsh, Junier Oliva, Sebastian Fromenteau et al.
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm
Manuel Gomez-Rodriguez, Le Song, Hadi Daneshm et al.
Estimating Maximum Expected Value through Gaussian Approximation
Carlo D’Eramo, Marcello Restelli, Alessandro Nuara
Estimating Mutual Information in Under-Reported Variables
Konstantinos Sechidis, Matthew Sperrin, Emily Petherick et al.
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
Cristina Savin, Gasper Tkacik