Co-occurring keywords · papers mentioning both
Papers
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
NeurIPS 2024
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
AAAI 2024
Efficient Online Set-valued Classification with Bandit Feedback
ICML 2024
On Unbiased Estimation for Partially Observed Diffusions
JMLR 2024
Robust Graph Neural Networks via Unbiased Aggregation
NeurIPS 2024
A New Challenge in Policy Evaluation
AAAI 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
ICML 2023
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
AISTATS 2022
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks
IJCAI 2021
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
ICLR 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
ICLR 2020
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
ACL 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions
COLT 2019
Unbiased Objective Estimation in Predictive Optimization
ICML 2018