conftrace_
← Probability
Mathematics & Optimization › Probability ›

Stochastic Processes

438 papers

Papers per year

7
9
29
16
'10
'15
'20
'25

Papers

Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Fast Determinantal Point Process Sampling with Application to Clustering NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Solving inverse problem of Markov chain with partial observations NIPS 2013
Computing the Stationary Distribution Locally NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NIPS 2013
Blind Signal Separation in the Presence of Gaussian Noise COLT 2013
Modeling Information Propagation with Survival Theory ICML 2013
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NIPS 2012
Modelling Reciprocating Relationships with Hawkes Processes NIPS 2012
Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012
Learning with Partially Absorbing Random Walks NIPS 2012
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NIPS 2012
Mixability in Statistical Learning NIPS 2012
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Entangled Monte Carlo NIPS 2012
Controlling Selection Bias in Causal Inference AISTATS 2012
Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012