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ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results., , , , , , , , , and 18 other author(s). CoRR, (2022)ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results., , , , , , , , , and 17 other author(s). TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 269-276. PMLR, (2022)ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results., , , , , , , , , and 23 other author(s). CoRR, (2021)Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction., , , and . Trans. Mach. Learn. Res., (2023)Quantile Regularization: Towards Implicit Calibration of Regression Models., and . CoRR, (2020)Language Agnostic Code Embeddings., , and . CoRR, (2023)Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric., , and . Trans. Mach. Learn. Res., (2023)Rieoptax: Riemannian Optimization in JAX., , , and . CoRR, (2022)Locally Differentially Private Document Generation Using Zero Shot Prompting., , and . EMNLP (Findings), page 8442-8457. Association for Computational Linguistics, (2023)