Probability

Distance-Based Equilibria in Normal-Form Games AAAI 2020 Diversified Bayesian Nonnegative Matrix Factorization AAAI 2020 Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020 Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form NeurIPS 2020 Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks NeurIPS 2020 Estimating weighted areas under the ROC curve NeurIPS 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport IJCAI 2020 Extrapolating the profile of a finite population COLT 2020 Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter AISTATS 2020 Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NeurIPS 2020 Faster Wasserstein Distance Estimation with the Sinkhorn Divergence NeurIPS 2020 Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NeurIPS 2020 Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos ICML 2020 Free Energy Wells and Overlap Gap Property in Sparse PCA COLT 2020 General Identification of Dynamic Treatment Regimes Under Interference AISTATS 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 Generalized Leverage Score Sampling for Neural Networks NeurIPS 2020 Gradient descent algorithms for Bures-Wasserstein barycenters COLT 2020 Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NeurIPS 2020 Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020 Implicit Regularization of Random Feature Models ICML 2020 Importance Sampling via Local Sensitivity AISTATS 2020 Improved Model for Vocal Folds with a Polyp with Potential Application Interspeech 2020 Improving Sparse Vector Technique with Renyi Differential Privacy NeurIPS 2020 Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020