Papers
Fast Algorithm for Generalized Multinomial Models with Ranking Data
Jiaqi Gu, Guosheng Yin
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover, Aaron Zweig, Stefano Ermon
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra et al.
Learning to Optimize Multigrid PDE Solvers
Daniel Greenfeld, Meirav Galun, Ronen Basri et al.
Automatic Posterior Transformation for Likelihood-Free Inference
David Greenberg, Marcel Nonnenmacher, Jakob Macke
A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell, Zaid Harchaoui
Adaptive Sensor Placement for Continuous Spaces
James Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths et al.
Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst et al.
Combining parametric and nonparametric models for off-policy evaluation
Omer Gottesman, Yao Liu, Scott Sussex et al.
Obtaining Fairness using Optimal Transport Theory
Paula Gordaliza, Eustasio Del Barrio, Gamboa Fabrice et al.
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
Chengyue Gong, Jian Peng, Qiang Liu
Efficient Training of BERT by Progressively Stacking
Linyuan Gong, Di He, Zhuohan Li et al.
The information-theoretic value of unlabeled data in semi-supervised learning
Alexander Golovnev, David Pal, Balazs Szorenyi
Online Algorithms for Rent-Or-Buy with Expert Advice
Sreenivas Gollapudi, Debmalya Panigrahi
Amortized Monte Carlo Integration
Adam Golinski, Frank Wood, Tom Rainforth
Estimating Information Flow in Deep Neural Networks
Ziv Goldfeld, Ewout Van Den Berg, Kristjan Greenewald et al.
Discovering Conditionally Salient Features with Statistical Guarantees
Jaime Roquero Gimenez, James Zou
Adversarial Examples Are a Natural Consequence of Test Error in Noise
Justin Gilmer, Nicolas Ford, Nicholas Carlini et al.
Learning to Groove with Inverse Sequence Transformations
Jon Gillick, Adam Roberts, Jesse Engel et al.
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza, Zelda Mariet et al.
Efficient Dictionary Learning with Gradient Descent
Dar Gilboa, Sam Buchanan, John Wright
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani, James Zou
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
Behrooz Ghorbani, Shankar Krishnan, Ying Xiao
An Instability in Variational Inference for Topic Models
Behrooz Ghorbani, Hamid Javadi, Andrea Montanari
Recursive Sketches for Modular Deep Learning
Badih Ghazi, Rina Panigrahy, Joshua Wang