conftrace_

mean squared error

69 papers

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Also known as

MSE

Co-occurring keywords

causal inference (1630) variance reduction (523) off-policy evaluation (144) behavior policy (30) mean-squared error (13) neural network (6616) statistical estimation (108) importance sampling (318) markov decision process (790) convex optimization (1321)

Papers

Convergence Guarantees for the Good-Turing Estimator JMLR 2022
Online Balanced Experimental Design ICML 2022
Quantile regression with ReLU Networks: Estimators and minimax rates JMLR 2022
Generalizing Gaussian Smoothing for Random Search ICML 2022
Crowdsourcing Regression: A Spectral Approach AISTATS 2022
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls NIPS 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021
Error-Sensitive Evaluation for Ordinal Target Variables EMNLP 2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework ICML 2021
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding AISTATS 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021
Learning the optimal Tikhonov regularizer for inverse problems NIPS 2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space NIPS 2021
WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020
Strategyproof Mean Estimation from Multiple-Choice Questions ICML 2020
Provably Efficient Neural GTD for Off-Policy Learning NIPS 2020
The Mean-Squared Error of Double Q-Learning NIPS 2020
One-shot Distributed Ridge Regression in High Dimensions ICML 2020
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020
Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020
A Characterization of Mean Squared Error for Estimator with Bagging AISTATS 2020
Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019