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Probability

1043 directly classified papers

Papers per year

Papers

On Learning Markov Chains NIPS 2018
Generative Modeling Using the Sliced Wasserstein Distance CVPR 2018
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018
Analyzing Correlated Evolution of Multiple Features Using Latent Representations EMNLP 2018
Testing for Families of Distributions via the Fourier Transform NIPS 2018
Mallows Models for Top-k Lists NIPS 2018
Integration complexity and the order of cosisters EMNLP 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal NIPS 2018
Entropy Rate Estimation for Markov Chains with Large State Space NIPS 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NIPS 2018
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance COLT 2018
Learning Registered Point Processes from Idiosyncratic Observations ICML 2018
On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness JMLR 2018
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios JMLR 2018
Local Density Estimation in High Dimensions ICML 2018
Sparse Exchangeable Graphs and Their Limits via Graphon Processes JMLR 2018
A Faster Approximation Algorithm for the Gibbs Partition Function COLT 2018
Characteristic and Universal Tensor Product Kernels JMLR 2018
Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
Inference via Low-Dimensional Couplings JMLR 2018
Compact Representation of Uncertainty in Clustering NIPS 2018
On the Spectrum of Random Features Maps of High Dimensional Data ICML 2018
A Random Matrix Analysis and Improvement of Semi-Supervised Learning for Large Dimensional Data JMLR 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NIPS 2018