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Probability

1,250 papers

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Papers

On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes ICML 2020 On the Similarity between the Laplace and Neural Tangent Kernels NeurIPS 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 On the Theoretical Properties of the Network Jackknife ICML 2020 On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm ICML 2020 Optimal Bounds between f-Divergences and Integral Probability Metrics ICML 2020 Parallels Between Phase Transitions and Circuit Complexity? COLT 2020 Phase retrieval in high dimensions: Statistical and computational phase transitions NeurIPS 2020 Predicting Declension Class from Form and Meaning ACL 2020 Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NeurIPS 2020 Projection Robust Wasserstein Distance and Riemannian Optimization NeurIPS 2020 Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality NeurIPS 2020 Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020 Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NeurIPS 2020 Recovering Causal Structures from Low-Order Conditional Independencies AAAI 2020 Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2020 Rigorous Guarantees for Tyler’s M-Estimator via Quantum Expansion COLT 2020 RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection SemEval 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020 Sampling from a k-DPP without looking at all items NeurIPS 2020 Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020 Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion ICML 2020 Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model AISTATS 2020