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markov chain sampling

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markov chain (3) markov chain monte carlo (3) clustering algorithm (2) mcmc sampling (2) non-convex optimization (2) stochastic gradient descent (2) mixing level (1) riemannian hamiltonian monte carlo (1) diverse item (1) cardinality-constrained sampling (1)

Papers

Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators COLT 2023 Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023 A Faster Sampling Algorithm for Spherical k-means ACML 2018 On Markov Chain Gradient Descent NeurIPS 2018 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 Fast Determinantal Point Process Sampling with Application to Clustering NeurIPS 2013