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Probability

1043 directly classified papers

Papers per year

Papers

Saliency Detection via Absorbing Markov Chain ICCV 2013
A Competitive Test for Uniformity of Monotone Distributions AISTATS 2013
Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013
Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013
Central Limit Theorems for Conditional Markov Chains AISTATS 2013
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers AISTATS 2013
Differential Privacy for Functions and Functional Data JMLR 2013
Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013
PC Algorithm for Nonparanormal Graphical Models JMLR 2013
Distributions of Angles in Random Packing on Spheres JMLR 2013
Average Reward Optimization Objective In Partially Observable Domains ICML 2013
Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Estimating the Unseen: Improved Estimators for Entropy and other Properties NIPS 2013
Optimal Neural Population Codes for High-dimensional Stimulus Variables NIPS 2013
A Characterization of Scoring Rules for Linear Properties COLT 2012
Divergences and Risks for Multiclass Experiments COLT 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012
Mixability in Statistical Learning NIPS 2012
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
Transelliptical Graphical Models NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012