:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Margossian, Charles C., Zhong, Chenyang, Mukherjee, Sumit
Format:	Preprint
Published:	2021
Subjects:	Computation
Online Access:	https://arxiv.org/abs/2110.10801
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variational Inference for Latent Variable Models in High Dimensions
by: Zhong, Chenyang, et al.
Published: (2025)

Joint Estimation in Potts Model
by: Mukherjee, Somabha, et al.
Published: (2026)

For how many iterations should we run Markov chain Monte Carlo?
by: Margossian, Charles C., et al.
Published: (2023)

Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
by: Margossian, Charles C., et al.
Published: (2024)

Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models
by: Lai, Jinlin, et al.
Published: (2026)

Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
by: Margossian, Charles C., et al.
Published: (2024)

Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry
by: Margossian, Charles C., et al.
Published: (2025)

Geometric Comparisons of Electoral Rules Under Feedback
by: Mukherjee, Sumit
Published: (2026)

Electoral Systems Simulator: An Open Framework for Comparing Electoral Mechanisms Across Voter Distribution Scenarios
by: Mukherjee, Sumit
Published: (2026)

Fluctuations in random field Ising models
by: Lee, Seunghyun, et al.
Published: (2025)

Amortized Variational Inference: When and Why?
by: Margossian, Charles C., et al.
Published: (2023)

Listening to the Noise: Blind Denoising with Gibbs Diffusion
by: Heurtel-Depeiges, David, et al.
Published: (2024)

Scaling Supervised Local Learning with Augmented Auxiliary Networks
by: Ma, Chenxiang, et al.
Published: (2024)

Inference on Gaussian mixture models with dependent labels
by: Lee, Seunghyun, et al.
Published: (2025)

Linear Assignment Sampling: Spatially Balanced Sampling With Auxiliary Variables
by: B. L. Robertson, et al.
Published: (2025)

Graph-Enabled Fast MCMC Sampling with an Unknown High-Dimensional Prior Distribution
by: Zhong, Chenyang, et al.
Published: (2024)

Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
by: Madaan, Divyam, et al.
Published: (2026)

Design of General Purpose Minimal-Auxiliary Ising Machines
by: Martin, Isaac K., et al.
Published: (2023)

Quantum Potts Models on the Sierpiński Pyramid
by: Krčmár, Roman, et al.
Published: (2020)

EigenVI: score-based variational inference with orthogonal function expansions
by: Cai, Diana, et al.
Published: (2024)

Rates of Convergence of the Magnetization in the Tensor Curie-Weiss Potts Model
by: Bhowal, Sanchayan, et al.
Published: (2024)

Momentum Auxiliary Network for Supervised Local Learning
by: Su, Junhao, et al.
Published: (2024)

AH-GS: Augmented 3D Gaussian Splatting for High-Frequency Detail Representation
by: Xu, Chenyang, et al.
Published: (2025)

The two upper critical dimensions of the Ising and Potts models
by: Wiese, Kay Joerg, et al.
Published: (2023)

A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation
by: Ronald Kfouri, et al.
Published: (2025)

A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
by: Lee, Jong Hyeon, et al.
Published: (2025)

Enhancing Sample Generation of Diffusion Models using Noise Level Correction
by: Abuduweili, Abulikemu, et al.
Published: (2024)

Persistence and Ball Exponents for Gaussian Stationary Processes
by: Feldheim, Naomi, et al.
Published: (2021)

Faster Certified Symmetry Breaking Using Orders With Auxiliary Variables
by: Anders, Markus, et al.
Published: (2025)

From Ising to Potts: Physics-inspired Potts machines of coupled oscillators for low-energy sampling and combinatorial optimization
by: Cheng, Yi, et al.
Published: (2025)

Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025)

Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
by: Campbell, Harlan, et al.
Published: (2026)

Efficient algorithms for the Potts model on small-set expanders
by: Carlson, Charles, et al.
Published: (2020)

Modeling discrete lattice data using the Potts and tapered Potts models
by: Duenas-Herrera, Maria Paula, et al.
Published: (2025)

Auxiliary-Hyperparameter-Free Sampling: Entropy Equilibrium for Text Generation
by: Cai, Xiaodong, et al.
Published: (2025)

Batch and match: black-box variational inference with a score-based divergence
by: Cai, Diana, et al.
Published: (2024)

SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection
by: Li, Chenyang, et al.
Published: (2025)

Counting the number of group orbits by marrying the Burnside process with importance sampling
by: Diaconis, Persi, et al.
Published: (2025)

Rapid phase ordering for Ising and Potts dynamics on random regular graphs
by: Gheissari, Reza, et al.
Published: (2025)

Persistence and ball exponents for Gaussian stationary processes
by: Naomi D. Feldheim, et al.
Published: (2025)