Theory

Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022 Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022 Detection and Localization of Changes in Conditional Distributions NeurIPS 2022 Developing a Tag-Set and Extracting the Morphological Lexicons to Build a Morphological Analyzer for Egyptian Arabic EMNLP 2022 Differential Network Analysis NSDI 2022 Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022 DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections IJCAI 2022 DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS ICLR 2022 Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NeurIPS 2022 Dist2Cycle: A Simplicial Neural Network for Homology Localization AAAI 2022 Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach L4DC 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 Diversity and Generalization in Neural Network Ensembles AISTATS 2022 Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED ACL 2022 Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract) AAAI 2022 Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS 2022 DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python JMLR 2022 Double Sampling Randomized Smoothing ICML 2022 Dynamic Fair Division with Partial Information NeurIPS 2022 Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks ACL 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 Effects of Data Geometry in Early Deep Learning NeurIPS 2022 Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022 Efficient Convex Optimization Requires Superlinear Memory COLT 2022 Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation NeurIPS 2022