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

Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows AAAI 2025
MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces IJCAI 2025
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? NIPS 2024
Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024
Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024
The Solution Path of SLOPE AISTATS 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024
NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual Relatedness SEMEVAL 2024
Fundamental Limits of Non-Linear Low-Rank Matrix Estimation COLT 2024
Learning Under Random Distributional Shifts AISTATS 2024
Precise Model Benchmarking with Only a Few Observations EMNLP 2024
Least Squares Model Averaging for Distributed Data JMLR 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023
Distributed Statistical Inference under Heterogeneity JMLR 2023
Evaluating Unsupervised Denoising Requires Unsupervised Metrics ICML 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
High-dimensional Asymptotics of Denoising Autoencoders NIPS 2023
Revisiting Bellman Errors for Offline Model Selection ICML 2023
On the choice of Perception Loss Function for Learned Video Compression NIPS 2023
Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks JMLR 2023
Balanced Off-Policy Evaluation for Personalized Pricing AISTATS 2023
Crowdsourcing Regression: A Spectral Approach AISTATS 2022
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022
Generalizing Gaussian Smoothing for Random Search ICML 2022
The Correlation-assisted Missing Data Estimator JMLR 2022