mean square error

Quantification of Transducer Misalignment in Ultrasound Tongue Imaging Interspeech 2020 The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers ICML 2020 The Mean-Squared Error of Double Q-Learning NeurIPS 2020 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Far-Field Speech Enhancement Using Heteroscedastic Autoencoder for Improved Speech Recognition Interspeech 2019 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 Investigation of Cost Function for Supervised Monaural Speech Separation Interspeech 2019 Kernel Machines Beat Deep Neural Networks on Mask-Based Single-Channel Speech Enhancement Interspeech 2019 On Nonlinear Spatial Filtering in Multichannel Speech Enhancement Interspeech 2019 The Level Weighted Structural Similarity Loss: A Step Away from MSE AAAI 2019 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018 Wasserstein Distributionally Robust Kalman Filtering NeurIPS 2018 Fundamental limits of symmetric low-rank matrix estimation COLT 2017 Generative Local Metric Learning for Kernel Regression NeurIPS 2017 Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017 On the Influence of Momentum Acceleration on Online Learning JMLR 2016 Parameter Estimation for Generalized Thurstone Choice Models ICML 2016 The Asymptotic Performance of Linear Echo State Neural Networks JMLR 2016 Fast and Memory Optimal Low-Rank Matrix Approximation NeurIPS 2015 Identifying graph-structured activation patterns in networks NeurIPS 2010 An improved estimator of Variance Explained in the presence of noise NeurIPS 2008