conftrace_

sub-gaussian distribution

18 papers

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Co-occurring keywords

sample complexity (1169) convergence rate (607) covariance matrix (101) covariance estimation (98) differential privacy (1016) concentration bound (28) generalized linear model (138) regret bound (1926) multi-armed bandit (1098) robust principal component analysis (62)

Papers

Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023
A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023
(Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping COLT 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021
Estimation of Spectral Risk Measures AAAI 2021
CoinPress: Practical Private Mean and Covariance Estimation NIPS 2020
Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing NIPS 2020
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits NIPS 2020
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? ICML 2017
A Universal Analysis of Large-Scale Regularized Least Squares Solutions NIPS 2017
Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma JMLR 2016
Distribution-Dependent Sample Complexity of Large Margin Learning JMLR 2013
On the Sample Complexity of Robust PCA NIPS 2012
Tight Sample Complexity of Large-Margin Learning NIPS 2010