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Private Isotonic Regression., , , and . NeurIPS, (2022)Does Invariant Risk Minimization Capture Invariance?, , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 4069-4077. PMLR, (2021)Towards Separating Computational and Statistical Differential Privacy., , , , and . FOCS, page 580-599. IEEE, (2023)Regression with Label Differential Privacy., , , , , , and . ICLR, OpenReview.net, (2023)Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization., , , , and . ICML, OpenReview.net, (2024)Monotone Circuit Lower Bounds from Resolution., , , and . Electron. Colloquium Comput. Complex., (2017)Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions., , , , and . CoRR, (2022)Summary Reports Optimization in the Privacy Sandbox Attribution Reporting API., , , , , , and . CoRR, (2023)Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7379-7389. PMLR, (2021)On User-Level Private Convex Optimization., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 11283-11299. PMLR, (2023)