linear model

Online Learning to Rank with Features ICML 2019 Perturbed-History Exploration in Stochastic Linear Bandits UAI 2019 Regularization in directable environments with application to Tetris ICML 2019 Sensitivity Analysis of Linear Structural Causal Models ICML 2019 Speech Based Emotion Prediction: Can a Linear Model Work? Interspeech 2019 Strong and Simple Baselines for Multimodal Utterance Embeddings NAACL 2019 V-to-V Coarticulation Induced Acoustic and Articulatory Variability of Vowels: The Effect of Pitch-Accent Interspeech 2019 Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent NeurIPS 2019 Characterizing Implicit Bias in Terms of Optimization Geometry ICML 2018 Learning Dynamics of Linear Denoising Autoencoders ICML 2018 Learning how to explain neural networks: PatternNet and PatternAttribution ICLR 2018 Action Centered Contextual Bandits NeurIPS 2017 Active Learning for Accurate Estimation of Linear Models ICML 2017 Selective Inference for Sparse High-Order Interaction Models ICML 2017 ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017 Analyzing the Relation Between Overall Quality and the Quality of Individual Phases in a Telephone Conversation Interspeech 2016 Identification and Overidentification of Linear Structural Equation Models NeurIPS 2016 Linear Contextual Bandits with Knapsacks NeurIPS 2016 Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016 Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 (Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014 On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014 Partition-wise Linear Models NeurIPS 2014 Accelerated Coordinate Descent with Adaptive Coordinate Frequencies ACML 2013