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Regression

4964 directly classified papers

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Papers

Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016
Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016
Automatic Assessment and Error Detection of Shadowing Speech: Case of English Spoken by Japanese Learners INTERSPEECH 2016
Acoustic Properties of Formality in Conversational Japanese INTERSPEECH 2016
The Sound of Disgust: How Facial Expression May Influence Speech Production INTERSPEECH 2016
RLScore: Regularized Least-Squares Learners JMLR 2016
Gradients Weights improve Regression and Classification JMLR 2016
Operator-valued Kernels for Learning from Functional Response Data JMLR 2016
Loss Minimization and Parameter Estimation with Heavy Tails JMLR 2016
Online Sparse Linear Regression COLT 2016
Aggregation of supports along the Lasso path COLT 2016
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models ICML 2016
The Unit of Speech Encoding: The Case of Romanian INTERSPEECH 2016
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence JMLR 2016
Multivariate Spearman's $\rho$ for Aggregating Ranks Using Copulas JMLR 2016
LLORMA: Local Low-Rank Matrix Approximation JMLR 2016
Detection, Disambiguation and Argument Identification of Discourse Connectives in Chinese Discourse Parsing COLING 2016
Predictability of Distributional Semantics in Derivational Word Formation COLING 2016
Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity COLING 2016
Predicting Restaurant Consumption Level through Social Media Footprints COLING 2016
Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016
Learning Population-Level Diffusions with Generative RNNs ICML 2016
The Asymptotic Performance of Linear Echo State Neural Networks JMLR 2016