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

Coresets for Wasserstein Distributionally Robust Optimization Problems NIPS 2022
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022
A Continuous Time Framework for Discrete Denoising Models NIPS 2022
Neural Regret-Matching for Distributed Constraint Optimization Problems IJCAI 2021
Geometric convergence of elliptical slice sampling ICML 2021
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021
Perturb-and-max-product: Sampling and learning in discrete energy-based models NIPS 2021
Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021
Differentially Private Sampling from Distributions NIPS 2021
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract) IJCAI 2021
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021
Efficient constrained sampling via the mirror-Langevin algorithm NIPS 2021
Efficient Sampling of Dependency Structure EMNLP 2021
Double-Loop Unadjusted Langevin Algorithm ICML 2020
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator CVPR 2020
Morphing and Sampling Network for Dense Point Cloud Completion AAAI 2020
Optimization from Structured Samples for Coverage Functions ICML 2020
Deep Archimedean Copulas NIPS 2020
Sampling from a k-DPP without looking at all items NIPS 2020
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks AAAI 2020
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation AACL 2020
Neutralizing Self-Selection Bias in Sampling for Sortition NIPS 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NIPS 2020
Fast Markov chain Monte Carlo algorithms via Lie groups AISTATS 2020