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Probability

1043 directly classified papers

Papers per year

Papers

A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
Discovering Latent Network Structure in Point Process Data ICML 2014
Concavity of reweighted Kikuchi approximation NIPS 2014
Elicitation and Identification of Properties COLT 2014
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014
Recovering Distributions from Gaussian RKHS Embeddings AISTATS 2014
Covariance shrinkage for autocorrelated data NIPS 2014
Learning Modular Structures from Network Data and Node Variables ICML 2014
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014
Fast Computation of Wasserstein Barycenters ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Concentration in unbounded metric spaces and algorithmic stability ICML 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014
Computing Parametric Ranking Models via Rank-Breaking ICML 2014
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014
Wasserstein Propagation for Semi-Supervised Learning ICML 2014
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014
Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014
A Statistical Model for Event Sequence Data AISTATS 2014
Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs AISTATS 2014
Optimal prior-dependent neural population codes under shared input noise NIPS 2014
A Representation Theory for Ranking Functions NIPS 2014
Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014