Mathematics

Learning Graph Models for Retrosynthesis Prediction NeurIPS 2021 Learning Graphons via Structured Gromov-Wasserstein Barycenters AAAI 2021 Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021 Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation JMLR 2021 Learning latent causal graphs via mixture oracles NeurIPS 2021 Learning of Structurally Unambiguous Probabilistic Grammars AAAI 2021 Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters NeurIPS 2021 Learning partial correlation graphs and graphical models by covariance queries JMLR 2021 Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples L4DC 2021 Learning Riemannian Manifolds for Geodesic Motion Skills RSS 2021 Learning Shared Subgraphs in Ising Model Pairs AISTATS 2021 Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction CVPR 2021 Learning to Learn Graph Topologies NeurIPS 2021 Learning with Comparison Feedback: Online Estimation of Sample Statistics ALT 2021 Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021 Leveraging the Uniformity Framework to Examine Crosslinguistic Similarity for Long-Lag Stops in Spontaneous Cantonese-English Bilingual Speech Interspeech 2021 Light RUMs ICML 2021 Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings JMLR 2021 Linear Bandits on Uniformly Convex Sets JMLR 2021 Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021 Linguistic Dependencies and Statistical Dependence EMNLP 2021 Link Prediction with Persistent Homology: An Interactive View ICML 2021 Local Algorithms for Finding Densely Connected Clusters ICML 2021 Local Hyper-Flow Diffusion NeurIPS 2021 Localization in the Crowd with Topological Constraints AAAI 2021