Mathematics

On the Power of Edge Independent Graph Models NeurIPS 2021 On the Riemannian Search for Eigenvector Computation JMLR 2021 On the Stability of System Rankings at WMT EMNLP 2021 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021 Optimal Bounds between f-Divergences and Integral Probability Metrics JMLR 2021 Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021 Optimal Kidney Exchange with Immunosuppressants AAAI 2021 Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method ICML 2021 Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy AISTATS 2021 Optimal Rates for Nonparametric Density Estimation under Communication Constraints NeurIPS 2021 Optimal Sketching for Trace Estimation NeurIPS 2021 Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021 Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization AAAI 2021 Optimizing persistent homology based functions ICML 2021 Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning NeurIPS 2021 Parametric Complexity Bounds for Approximating PDEs with Neural Networks NeurIPS 2021 Parametric Distributions to Model Numerical Emotion Labels Interspeech 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NeurIPS 2021 PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols NAACL 2021 Permuton-induced Chinese Restaurant Process NeurIPS 2021 Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation ICCV 2021 Perturbation Theory for the Information Bottleneck NeurIPS 2021 Phonetic Distance and Surprisal in Multilingual Priming: Evidence from Slavic Interspeech 2021 Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021