conftrace_

unbiased estimator

39 papers

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Co-occurring keywords

markov chain monte carlo (725) linear regression (282) variance reduction (523) least square (101) multilevel monte carlo (10) determinantal point process (140) volume sampling (11) nested expectation (3) classification risk (12) matrix sampling (7)

Papers

Experimentation on Endogenous Graphs AAAI 2026
Improving Value-based Process Verifier via Low-Cost Variance Reduction AAAI 2026
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025
On Sampling Strategies for Spectral Model Sharding NIPS 2024
Unbiased Estimator for Distorted Conics in Camera Calibration CVPR 2024
On Differentially Private U Statistics NIPS 2024
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NIPS 2024
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023
Unbiased estimators for random design regression JMLR 2022
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation ICML 2022
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations ACML 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach NIPS 2022
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains UAI 2021
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies ICML 2021
Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020
Adaptive Shrinkage Estimation for Streaming Graphs NIPS 2020
Showing Your Work Doesn’t Always Work ACL 2020
Correcting the bias in least squares regression with volume-rescaled sampling AISTATS 2019
Bernoulli Race Particle Filters AISTATS 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings AISTATS 2019
Processing Megapixel Images with Deep Attention-Sampling Models ICML 2019
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019