Probability

Unlinked Monotone Regression JMLR 2021 Updating the Belief Promotion Operator IJCAI 2021 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 2021 Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021 Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability AAAI 2021 XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021 A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 Adaptive Sampling for Estimating Probability Distributions ICML 2020 Adversarial Risk via Optimal Transport and Optimal Couplings ICML 2020 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020 Algebraic and Analytic Approaches for Parameter Learning in Mixture Models ALT 2020 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 A Randomized Algorithm to Reduce the Support of Discrete Measures NeurIPS 2020 A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NeurIPS 2020 A Robust Univariate Mean Estimator is All You Need AISTATS 2020 Asymptotics of Wide Networks from Feynman Diagrams ICLR 2020 A Three-Parameter Rank-Frequency Relation in Natural Languages ACL 2020 Balancing Gaussian vectors in high dimension COLT 2020 Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020 Can We Predict the Election Outcome from Sampled Votes? AAAI 2020 Continuous Regularized Wasserstein Barycenters NeurIPS 2020 Convergence Rate of Optimal Quantization and Application to the Clustering Performance of the Empirical Measure JMLR 2020 Deep Diffusion-Invariant Wasserstein Distributional Classification NeurIPS 2020 Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020 Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020