{"total":19,"rows":[{"id":"2102.02171","title":"Outlier-Robust Learning of Ising Models Under Dobrushin's Condition","created":"2021-02-03","cited_by_count":14,"area":null},{"id":"2308.07588","title":"High-Probability Risk Bounds via Sequential Predictors","created":"2023-08-15","cited_by_count":10,"area":null},{"id":"2106.03969","title":"Chow-Liu++: Optimal Prediction-Centric Learning of Tree Ising Models","created":"2021-06-07","cited_by_count":9,"area":null},{"id":"2211.13291","title":"Learning and Testing Latent-Tree Ising Models Efficiently","created":"2022-11-23","cited_by_count":7,"area":null},{"id":"2302.06869","title":"Concentration Bounds for Discrete Distribution Estimation in KL Divergence","created":"2023-02-14","cited_by_count":7,"area":null},{"id":"2209.01341","title":"Generative Modeling via Tree Tensor Network States","created":"2022-09-03","cited_by_count":5,"area":null},{"id":"2310.06333","title":"Learning bounded-degree polytrees with known skeleton","created":"2023-10-10","cited_by_count":5,"area":null},{"id":"2411.11174","title":"Learning the Sherrington-Kirkpatrick Model Even at Low Temperature","created":"2024-11-17","cited_by_count":5,"area":null},{"id":"2507.17316","title":"Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability","created":"2025-07-23","cited_by_count":4,"area":null},{"id":"2304.06733","title":"Near-Optimal Degree Testing for Bayes Nets","created":"2023-04-13","cited_by_count":3,"area":null},{"id":"2502.08531","title":"On Different Notions of Redundancy in Conditional-Independence-Based Discovery of Graphical Models","created":"2025-02-12","cited_by_count":3,"area":null},{"id":"2506.00764","title":"Learning Juntas under Markov Random Fields","created":"2025-06-01","cited_by_count":3,"area":null},{"id":"2511.21008","title":"Estimating Ising Models in Total Variation Distance","created":"2025-11-26","cited_by_count":3,"area":null},{"id":"2602.16142","title":"Ratio Covers of Convex Sets and Optimal Mixture Density Estimation","created":"2026-02-18","cited_by_count":3,"area":null},{"id":"2107.10450","title":"Learning Sparse Fixed-Structure Gaussian Bayesian Networks","created":"2021-07-22","cited_by_count":2,"area":null},{"id":"2305.07751","title":"Private and Communication-Efficient Algorithms for Entropy Estimation","created":"2023-05-12","cited_by_count":2,"area":null},{"id":"2107.11712","title":"Efficient inference of interventional distributions","created":"2021-07-25","cited_by_count":1,"area":null},{"id":"2102.08554","title":"Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise","created":"2021-02-17","cited_by_count":0,"area":null},{"id":"2110.14341","title":"Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees","created":"2021-10-27","cited_by_count":0,"area":null}],"next_cursor":null}