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Learning Sparse Additive Models with Interactions in High Dimensions.

, , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 111-120. JMLR.org, (2016)

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On low dimensional models for functions in high dimensions.. ETH Zurich, Zürich, Switzerland, (2016)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/117428).On Two Continuum Armed Bandit Problems in High Dimensions., , and . Theory Comput. Syst., 58 (1): 191-222 (2016)Dynamic angular synchronization under smoothness constraints., , and . CoRR, (2024)Efficient Sampling for Learning Sparse Additive Models in High Dimensions., , and . NIPS, page 514-522. (2014)On denoising modulo 1 samples of a function., and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1868-1876. PMLR, (2018)Continuum Armed Bandit Problem of Few Variables in High Dimensions., and . WAOA, volume 8447 of Lecture Notes in Computer Science, page 108-119. Springer, (2013)SPONGE: A generalized eigenproblem for clustering signed networks., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1088-1098. PMLR, (2019)Recovering Hölder smooth functions from noisy modulo samples., and . ACSCC, page 857-861. IEEE, (2021)An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2257-2291. PMLR, (2022)Non-Negative Super-Resolution is Stable., , , , and . DSW, page 100-104. IEEE, (2018)