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Probability

1043 directly classified papers

Papers per year

Papers

Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011
Inference in continuous-time change-point models NIPS 2011
A Model for Temporal Dependencies in Event Streams NIPS 2011
Confidence Sets for Network Structure NIPS 2011
Probabilistic amplitude and frequency demodulation NIPS 2011
Finite Time Analysis of Stratified Sampling for Monte Carlo NIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011
Learning Eigenvectors for Free NIPS 2011
Query-Aware MCMC NIPS 2011
b-Bit Minwise Hashing for Estimating Three-Way Similarities NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010
Exact learning curves for Gaussian process regression on large random graphs NIPS 2010
Fractionally Predictive Spiking Neurons NIPS 2010
A novel family of non-parametric cumulative based divergences for point processes NIPS 2010
Worst-case bounds on the quality of max-product fixed-points NIPS 2010
Scrambled Objects for Least-Squares Regression NIPS 2010
On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010
On Finding Predictors for Arbitrary Families of Processes JMLR 2010
Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range RSS 2010
Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010
-Nested Symmetric Distributions JMLR 2010
Getting lost in space: Large sample analysis of the resistance distance NIPS 2010
Sensitivity analysis in HMMs with application to likelihood maximization NIPS 2009