Mathematics

Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry ICML 2022 Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022 Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning COLT 2022 De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022 Detecting Latent Communities in Network Formation Models JMLR 2022 Development of the Siberian Ingrian Finnish Speech Corpus ACL 2022 Differentially Private Approximate Quantiles ICML 2022 Differentially Private Covariance Revisited NeurIPS 2022 Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown AISTATS 2022 Differentially Private Maximal Information Coefficients ICML 2022 Differential Network Analysis NSDI 2022 Differential privacy and robust statistics in high dimensions COLT 2022 Differential privacy for symmetric log-concave mechanisms AISTATS 2022 Diffusion Curvature for Estimating Local Curvature in High Dimensional Data NeurIPS 2022 Dimension reduction for high-dimensional small counts with KL divergence UAI 2022 DiSC: Differential Spectral Clustering of Features NeurIPS 2022 Discovery of Single Independent Latent Variable NeurIPS 2022 Discrete Probabilistic Inverse Optimal Transport ICML 2022 Disentangling the Computational Complexity of Network Untangling IJCAI 2022 Distributional Convergence of the Sliced Wasserstein Process NeurIPS 2022 Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks AISTATS 2022 Distribution Regression with Sliced Wasserstein Kernels ICML 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 Dynamic Fair Division with Partial Information NeurIPS 2022