Co-occurring keywords · papers mentioning both
Papers
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
ICML 2018
Efficient Sampling from Time-Varying Log-Concave Distributions
JMLR 2017
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo
COLT 2017
Bounding errors of Expectation-Propagation
NeurIPS 2015
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions
COLT 2015
Finite-Time Analysis of Projected Langevin Monte Carlo
NeurIPS 2015
Optimal Testing for Properties of Distributions
NeurIPS 2015
The entropic barrier: a simple and optimal universal self-concordant barrier
COLT 2015
Active and passive learning of linear separators under log-concave distributions
COLT 2013
Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching
COLT 2013
Learning Halfspaces with Malicious Noise
JMLR 2009