conftrace_

sampling algorithm

130 papers

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Co-occurring keywords

markov chain monte carlo (725) bayesian inference (1907) langevin dynamics (128) generative model (2892) determinantal point process (140) wasserstein distance (417) langevin monte carlo (33) hamiltonian monte carlo (92) log-concave distribution (46) approximation algorithm (630)

Papers

LSDS++ : Dual Sampling for Accelerated k-means++ ICML 2023
Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time IJCAI 2023
Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs NIPS 2023
A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System ACL 2023
On Differentially Private Sampling from Gaussian and Product Distributions NIPS 2023
Conditionally Strongly Log-Concave Generative Models ICML 2023
Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization NIPS 2022
Nonparametric Involutive Markov Chain Monte Carlo ICML 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes ICML 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems NIPS 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022
Top Two Algorithms Revisited NIPS 2022
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods COLT 2022
Continuously Tempered PDMP samplers NIPS 2022
Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions AAAI 2022
A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract) AAAI 2022
On Scalable Testing of Samplers NIPS 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022
Efficient Sampling on Riemannian Manifolds via Langevin MCMC NIPS 2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022
A Deep Learning Dataloader with Shared Data Preparation NIPS 2022
Natural gradient enables fast sampling in spiking neural networks NIPS 2022
A Continuous Time Framework for Discrete Denoising Models NIPS 2022