mean square error

Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation JMLR 2026 On the Asymptotic Mean Square Error Optimality of Diffusion Models AISTATS 2025 Combining Experimental and Historical Data for Policy Evaluation ICML 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 Enhancing No-Reference Speech Quality Assessment with Pairwise, Triplet Ranking Losses, and ASR Pretraining Interspeech 2024 Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NeurIPS 2024 Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions ICML 2024 On Using Admissible Bounds for Learning Forward Search Heuristics IJCAI 2024 A/B Testing in Network Data with Covariate-Adaptive Randomization ICML 2023 Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NeurIPS 2023 Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration NeurIPS 2023 Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023 Information-Theoretic Diffusion ICLR 2023 Minimum Variance Unbiased N:M Sparsity for the Neural Gradients ICLR 2023 Patch-Level Gaze Distribution Prediction for Gaze Following WACV 2023 Simplex Random Features ICML 2023 Balanced MSE for Imbalanced Visual Regression CVPR 2022 On Linear Model with Markov Signal Priors AISTATS 2022 The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NeurIPS 2022 Convergence Properties of Stochastic Hypergradients AISTATS 2021 Double Adversarial Network Based Monaural Speech Enhancement for Robust Speech Recognition Interspeech 2020 Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking EMNLP 2020 Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation AISTATS 2020 Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning AISTATS 2020 Information theoretic limits of learning a sparse rule NeurIPS 2020