Mathematics

Quantified Reproducibility Assessment of NLP Results ACL 2022 Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra ICML 2022 Quaternion Ordinal Embedding IJCAI 2022 Random Gegenbauer Features for Scalable Kernel Methods ICML 2022 Random Graph Matching in Geometric Models: the Case of Complete Graphs COLT 2022 Random matrices in service of ML footprint: ternary random features with no performance loss ICLR 2022 Random Tensor Theory for Tensor Decomposition AAAI 2022 Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms COLT 2022 Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022 Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion NeurIPS 2022 Reconfiguring Shortest Paths in Graphs AAAI 2022 Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise AISTATS 2022 Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT NeurIPS 2022 Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models ICML 2022 Registration of Human Point Set Using Automatic Key Point Detection and Region-Aware Features WACV 2022 Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022 Relative Pose From a Calibrated and an Uncalibrated Smartphone Image CVPR 2022 Reliable Inlier Evaluation for Unsupervised Point Cloud Registration AAAI 2022 Representing Spatial Trajectories as Distributions NeurIPS 2022 Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach AAAI 2022 Resolving the data ambiguity for periodic crystals NeurIPS 2022 Rethinking Fano’s Inequality in Ensemble Learning ICML 2022 RKHS-SHAP: Shapley Values for Kernel Methods NeurIPS 2022 Robust Estimation for Random Graphs COLT 2022 Robust Testing in High-Dimensional Sparse Models NeurIPS 2022