Papers
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, ecprice et al.
Error Analysis of Generalized Nyström Kernel Regression
Hong Chen, Haifeng Xia, Heng Huang et al.
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
Cristina Savin, Gasper Tkacik
Estimating the class prior and posterior from noisy positives and unlabeled data
Shantanu Jain, Martha White, Predrag Radivojac
Estimating the Size of a Large Network and its Communities from a Random Sample
Lin Chen, Amin Karbasi, Forrest W. Crawford
Exact Recovery of Hard Thresholding Pursuit
Xiaotong Yuan, Ping Li, Tong Zhang
Examples are not enough, learn to criticize! Criticism for Interpretability
Been Kim, Rajiv Khanna, Oluwasanmi O Koyejo
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
Zeyuan Allen-Zhu, Yang Yuan, Karthik Sridharan
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
Amin Jalali, Qiyang Han, Ioana Dumitriu et al.
Exponential expressivity in deep neural networks through transient chaos
Ben Poole, Subhaneil Lahiri, Maithra Raghu et al.
Exponential Family Embeddings
Maja Rudolph, Francisco Ruiz, Stephan Mandt et al.
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph, Michael Kearns, Jamie H Morgenstern et al.
Fast Active Set Methods for Online Spike Inference from Calcium Imaging
Johannes Friedrich, Liam Paninski
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi, Dohyung Park, Yudong Chen et al.
Fast and accurate spike sorting of high-channel count probes with KiloSort
Marius Pachitariu, Nicholas A Steinmetz, Shabnam N Kadir et al.
Fast and Flexible Monotonic Functions with Ensembles of Lattices
Mahdi Milani Fard, Kevin Canini, Andrew Cotter et al.
Fast and Provably Good Seedings for k-Means
Olivier Bachem, Mario Lucic, Hamed Hassani et al.
Fast Distributed Submodular Cover: Public-Private Data Summarization
Baharan Mirzasoleiman, Morteza Zadimoghaddam, Amin Karbasi
Faster Projection-free Convex Optimization over the Spectrahedron
Dan Garber, Dan Garber
Fast learning rates with heavy-tailed losses
Vu C Dinh, Lam S Ho, Binh Nguyen et al.
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Chengtao Li, Suvrit Sra, Stefanie Jegelka
Fast recovery from a union of subspaces
Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios, Iain Murray
Feature-distributed sparse regression: a screen-and-clean approach
Jiyan Yang, Michael W. Mahoney, Michael Saunders et al.