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Papers
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC
AISTATS 2020
Effectively Unbiased FID and Inception Score and Where to Find Them
CVPR 2020
Invariant Representations through Adversarial Forgetting
AAAI 2020
Ridge Regression: Structure, Cross-Validation, and Sketching
ICLR 2020
A Debiased MDI Feature Importance Measure for Random Forests
NeurIPS 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
NeurIPS 2019
Data-Free Quantization Through Weight Equalization and Bias Correction
ICCV 2019
Large Scale Incremental Learning
CVPR 2019
Accurate Inference for Adaptive Linear Models
ICML 2018
Countering Position Bias in Instructor Interventions in MOOC Discussion Forums
ACL 2018
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network
JMLR 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
ICML 2016
Estimating Mutual Information in Under-Reported Variables
PGM 2016
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
NeurIPS 2016
Exact Bias Correction and Covariance Estimation for Stereo Vision
CVPR 2015
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising
NeurIPS 2013
An improved estimator of Variance Explained in the presence of noise
NeurIPS 2008