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Theory

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Papers

Train and Test Tightness of LP Relaxations in Structured Prediction JMLR 2019
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations JMLR 2019
Kernels for Sequentially Ordered Data JMLR 2019
A Representer Theorem for Deep Kernel Learning JMLR 2019
Learnability of Solutions to Conjunctive Queries JMLR 2019
A Representer Theorem for Deep Neural Networks JMLR 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery JMLR 2019
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces JMLR 2019
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019
A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019
Determinantal Point Processes for Coresets JMLR 2019
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously JMLR 2019
Differentiable reservoir computing JMLR 2019
A Calibration Metric for Risk Scores with Survival Data MLHC 2019
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019
Jointly Measuring Diversity and Quality in Text Generation Models NAACL 2019
Recurrent models and lower bounds for projective syntactic decoding NAACL 2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs NAACL 2019
Neural Chinese Address Parsing NAACL 2019
Attention is not Explanation NAACL 2019
Saliency Learning: Teaching the Model Where to Pay Attention NAACL 2019
A large-scale study of the effects of word frequency and predictability in naturalistic reading NAACL 2019
Emotion Impacts Speech Recognition Performance NAACL 2019
Testing a Minimalist Grammar Parser on Italian Relative Clause Asymmetries NAACL 2019
Neural Models of the Psychosemantics of ‘Most’ NAACL 2019