Co-occurring keywords · papers mentioning both
Papers
Improving TensorSketch Using Complex Random Variables
UAI 2026
Trade-Offs of Diagonal Fisher Information Matrix Estimators
NeurIPS 2024
Benign overfitting in ridge regression
JMLR 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
ICML 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
COLT 2021
Rehashing Kernel Evaluation in High Dimensions
ICML 2019
The Uncertainty Bellman Equation and Exploration
ICML 2018
Estimating Maximum Expected Value through Gaussian Approximation
ICML 2016
Online Learning with Predictable Sequences
COLT 2013
PAC-Bayes-Empirical-Bernstein Inequality
NeurIPS 2013
Combining PAC-Bayesian and Generic Chaining Bounds
JMLR 2007
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
NeurIPS 2006