Mathematics & Optimization

DICP: Doppler Iterative Closest Point Algorithm RSS 2022 Differentiable Analog Quantum Computing for Optimization and Control NeurIPS 2022 Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering CVPR 2022 Differentially Private Approximate Quantiles ICML 2022 Differentially Private Covariance Revisited NeurIPS 2022 Differentially Private Densest Subgraph AISTATS 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 Diffusion Models as Plug-and-Play Priors NeurIPS 2022 Dimensionality and Coordination in Voting: The Distortion of STV AAAI 2022 Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022 Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022 Dimension reduction for high-dimensional small counts with KL divergence UAI 2022 DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NeurIPS 2022 DiSC: Differential Spectral Clustering of Features NeurIPS 2022 Discovery of Single Independent Latent Variable NeurIPS 2022 Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions NeurIPS 2022 Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback IJCAI 2022 Discrete Probabilistic Inverse Optimal Transport ICML 2022 Disentangling the Computational Complexity of Network Untangling IJCAI 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022