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variance estimation

46 papers

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Co-occurring keywords

neural network (6616) uncertainty quantification (1393) confidence interval (146) hypothesis testing (254) off-policy evaluation (144) reinforcement learning (4352) learning theory (519) multi-armed bandit (1098) asymptotic normality (66) uncertainty estimation (648)

Papers

Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025
General Uncertainty Estimation with Delta Variances AAAI 2025
Variance estimation in graphs with the fused lasso JMLR 2024
Variance estimation in compound decision theory under boundedness NIPS 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions AAAI 2024
Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024
Statistical Uncertainty in Word Embeddings: GloVe-V EMNLP 2024
High Precision Causal Model Evaluation with Conditional Randomization NIPS 2023
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NIPS 2023
Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition ICML 2023
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion NIPS 2023
Finite Sample Analysis Of Dynamic Regression Parameter Learning NIPS 2022
V-statistics and Variance Estimation JMLR 2021
Learning the Truth From Only One Side of the Story AISTATS 2021
Moment Multicalibration for Uncertainty Estimation COLT 2021
High-Confidence Off-Policy (or Counterfactual) Variance Estimation AAAI 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021
Uncertainty-Driven Loss for Single Image Super-Resolution NIPS 2021
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model COLT 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ICML 2020
On the Theoretical Properties of the Network Jackknife ICML 2020
Reliable training and estimation of variance networks NIPS 2019