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asymptotic variance
asymptotic variance
15 papers
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cramér-rao bound
(5)
unnormalized model
(10)
confidence interval
(146)
maximum likelihood estimator
(30)
markov chain monte carlo
(725)
causal inference
(1630)
contrastive divergence
(32)
linear regression
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curse of dimensionality
(61)
boltzmann machine
(22)
Papers
The surprising efficiency of temporal difference learning for rare event prediction
NIPS 2024
Near-Optimality of Contrastive Divergence Algorithms
NIPS 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
ICML 2023
The optimal noise in noise-contrastive learning is not what you think
UAI 2022
The Implicit Delta Method
NIPS 2022
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
NIPS 2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
NIPS 2021
Cross-validation Confidence Intervals for Test Error
NIPS 2020
A Unified Statistically Efficient Estimation Framework for Unnormalized Models
AISTATS 2020
Fisher Efficient Inference of Intractable Models
NIPS 2019
Rates of estimation for determinantal point processes
COLT 2017
On Estimating Causal Effects based on Supplemental Variables
AISTATS 2014
Stochastic Composite Likelihood
JMLR 2010
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
NIPS 2010
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections
NIPS 2007
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