{"total":60,"rows":[{"id":"2202.02195","title":"Deep End-to-end Causal Inference","created":"2022-02-04","cited_by_count":95,"area":null},{"id":"2205.15902","title":"Variational inference via Wasserstein gradient flows","created":"2022-05-31","cited_by_count":85,"area":null},{"id":"2407.04811","title":"Simplifying Deep Temporal Difference Learning","created":"2024-07-05","cited_by_count":78,"area":"deeprl"},{"id":"2109.03795","title":"Desiderata for Representation Learning: A Causal Perspective","created":"2021-09-08","cited_by_count":76,"area":null},{"id":"2106.09620","title":"Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA","created":"2021-06-17","cited_by_count":64,"area":null},{"id":"2607.05155","title":"EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments","created":"2026-07-06","cited_by_count":20,"area":null},{"id":"2301.00346","title":"An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects","created":"2023-01-01","cited_by_count":19,"area":null},{"id":"2306.01122","title":"On the Convergence of Coordinate Ascent Variational Inference","created":"2023-06-01","cited_by_count":18,"area":null},{"id":"2104.08324","title":"On the Robustness to Misspecification of $\\alpha$-Posteriors and Their Variational Approximations","created":"2021-04-16","cited_by_count":15,"area":null},{"id":"2106.11428","title":"Local convexity of the TAP free energy and AMP convergence for Z2-synchronization","created":"2021-06-21","cited_by_count":15,"area":null},{"id":"2403.13748","title":"Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs","created":"2024-03-20","cited_by_count":11,"area":null},{"id":"2104.12232","title":"Variational Inference in high-dimensional linear regression","created":"2021-04-25","cited_by_count":10,"area":null},{"id":"2205.11640","title":"Generalization Gap in Amortized Inference","created":"2022-05-23","cited_by_count":10,"area":null},{"id":"2410.11067","title":"Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix","created":"2024-10-14","cited_by_count":9,"area":null},{"id":"2104.05886","title":"The computational asymptotics of Gaussian variational inference and the Laplace approximation","created":"2021-04-13","cited_by_count":8,"area":null},{"id":"2406.04308","title":"Approximation-Aware Bayesian Optimization","created":"2024-06-06","cited_by_count":8,"area":null},{"id":"2205.07764","title":"On the inability of Gaussian process regression to optimally learn compositional functions","created":"2022-05-16","cited_by_count":7,"area":null},{"id":"2207.11208","title":"Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection","created":"2022-07-22","cited_by_count":7,"area":null},{"id":"2210.14420","title":"Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach","created":"2022-10-26","cited_by_count":7,"area":null},{"id":"2304.11251","title":"Machine Learning and the Future of Bayesian Computation","created":"2023-04-21","cited_by_count":4,"area":null},{"id":"2308.09104","title":"Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks","created":"2023-08-17","cited_by_count":4,"area":null},{"id":"2309.16843","title":"A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression","created":"2023-09-28","cited_by_count":4,"area":null},{"id":"2312.10607","title":"Bayesian Model Selection via Mean-Field Variational Approximation","created":"2023-12-17","cited_by_count":4,"area":null},{"id":"2102.00305","title":"Spike and slab Bayesian sparse principal component analysis","created":"2021-01-30","cited_by_count":3,"area":null},{"id":"2108.06446","title":"A fast asynchronous MCMC sampler for sparse Bayesian inference","created":"2021-08-14","cited_by_count":3,"area":null},{"id":"2403.06302","title":"Nonparametric Automatic Differentiation Variational Inference with Spline Approximation","created":"2024-03-10","cited_by_count":3,"area":null},{"id":"2409.06560","title":"A Primer on Variational Inference for Physics-Informed Deep Generative Modelling","created":"2024-09-10","cited_by_count":3,"area":null},{"id":"2506.07856","title":"Stability of Mean-Field Variational Inference","created":"2025-06-09","cited_by_count":3,"area":null},{"id":"2511.01064","title":"Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry","created":"2025-11-02","cited_by_count":3,"area":null},{"id":"2209.15117","title":"Structured Optimal Variational Inference for Dynamic Latent Space Models","created":"2022-09-29","cited_by_count":2,"area":null},{"id":"2210.11385","title":"On Representations of Mean-Field Variational Inference","created":"2022-10-20","cited_by_count":2,"area":null},{"id":"2311.00663","title":"Variational Gaussian Processes For Linear Inverse Problems","created":"2023-11-01","cited_by_count":2,"area":null},{"id":"2405.11780","title":"General bounds on the quality of Bayesian coresets","created":"2024-05-20","cited_by_count":2,"area":null},{"id":"2101.08049","title":"Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells","created":"2021-01-20","cited_by_count":1,"area":null},{"id":"2106.12199","title":"Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency","created":"2021-06-23","cited_by_count":1,"area":null},{"id":"2310.00097","title":"Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior","created":"2023-09-29","cited_by_count":1,"area":null},{"id":"2410.19131","title":"Maximum a Posteriori Inference for Factor Graphs via Benders' Decomposition","created":"2024-10-24","cited_by_count":1,"area":null},{"id":"2504.10004","title":"An Image is Worth $K$ Topics: A Visual Structural Topic Model with Pretrained Image Embeddings","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2504.12528","title":"Robust and Scalable Variational Bayes","created":"2025-04-16","cited_by_count":1,"area":null},{"id":"2505.21721","title":"Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2603.20929","title":"Stability of Sequential and Parallel Coordinate Ascent Variational Inference","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2604.00683","title":"Convergence of projected stochastic natural gradient variational inference for various step size and sample or batch size schedules","created":"2026-04-01","cited_by_count":1,"area":null},{"id":"2604.18310","title":"Symmetry Guarantees Statistic Recovery in Variational Inference","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2604.21407","title":"Even More Guarantees for Variational Inference in the Presence of Symmetries","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2102.03525","title":"Exclusive Topic Modeling","created":"2021-02-06","cited_by_count":0,"area":null},{"id":"2301.04771","title":"Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes","created":"2023-01-12","cited_by_count":0,"area":null},{"id":"2306.06756","title":"Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach","created":"2023-06-11","cited_by_count":0,"area":null},{"id":"2308.06293","title":"Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks","created":"2023-08-11","cited_by_count":0,"area":null},{"id":"2310.19621","title":"A Bayesian Methodology for Estimation for Sparse Canonical Correlation","created":"2023-10-30","cited_by_count":0,"area":null},{"id":"2411.06192","title":"Variational Bayes Portfolio Construction","created":"2024-11-09","cited_by_count":0,"area":null},{"id":"2411.11132","title":"Variational Bayesian Bow tie Neural Networks with Shrinkage","created":"2024-11-17","cited_by_count":0,"area":null},{"id":"2506.02413","title":"Tensor State Space-based Dynamic Multilayer Network Modeling","created":"2025-06-03","cited_by_count":0,"area":null},{"id":"2508.02337","title":"Posterior Sampling of Probabilistic Word Embeddings","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2509.15989","title":"Model-free algorithms for fast node clustering in SBM type graphs and application to social role inference in animals","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2510.01358","title":"A theoretical framework for M-posteriors: frequentist guarantees and robustness properties","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2510.17063","title":"Mode Collapse of Mean-Field Variational Inference","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2511.20594","title":"Variational bagging: a robust approach for Bayesian uncertainty quantification","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2512.12676","title":"Robust Variational Bayes by Min-Max Median Aggregation","created":"2025-12-14","cited_by_count":0,"area":null},{"id":"2603.08925","title":"Functional Bias and Tangent-Space Geometry in Variational Inference","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2605.11168","title":"Variational predictive resampling","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}