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Partially Linear Additive Gaussian Graphical Models.

, , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2180-2190. PMLR, (2019)

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High-dimensional Index Volatility Models via Stein's Identity., and . CoRR, (2018)Minimax Localization of Structural Information in Large Noisy Matrices., , , and . NIPS, page 909-917. (2011)Provable Gaussian Embedding with One Observation., , , , and . NeurIPS, page 6765-6775. (2018)Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14601-14638. PMLR, (2022)Learning structured densities via infinite dimensional exponential families., , and . NIPS, page 2287-2295. (2015)Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3691-3699. PMLR, (2024)Learning Influence-Receptivity Network Structure with Guarantee., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1476-1485. PMLR, (2019)Provably Training Neural Network Classifiers under Fairness Constraints., , and . CoRR, (2020)Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach., , , , , and . NeurIPS, (2020)Sparsistent Learning of Varying-coefficient Models with Structural Changes., , and . NIPS, page 1006-1014. Curran Associates, Inc., (2009)