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Probability

1043 directly classified papers

Papers per year

Papers

A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NIPS 2020
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NIPS 2020
On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020
Convergence Rate of Optimal Quantization and Application to the Clustering Performance of the Empirical Measure JMLR 2020
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching JMLR 2020
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion ICML 2020
Robust Density Estimation under Besov IPM Losses NIPS 2020
Online MAP Inference of Determinantal Point Processes NIPS 2020
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2020
Online Sinkhorn: Optimal Transport distances from sample streams NIPS 2020
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020
Adaptive Sampling for Estimating Probability Distributions ICML 2020
Generalized Leverage Score Sampling for Neural Networks NIPS 2020
Diversified Bayesian Nonnegative Matrix Factorization AAAI 2020
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering COLING 2020
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection COLING 2020
Learning Sums of Independent Random Variables with Sparse Collective Support JMLR 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020
Knowing-How under Uncertainty (Extended Abstract) IJCAI 2020
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs JMLR 2020
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection SEMEVAL 2020
UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis SEMEVAL 2020
The Potts-Ising model for discrete multivariate data NIPS 2020
Testing Determinantal Point Processes NIPS 2020