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Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence.

, , and . NeurIPS, page 6646-6657. (2021)

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Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation.. ICML, page 872-879. AAAI Press, (2003)A New Relaxation Approach to Normalized Hypergraph Cut., , and . CoRR, (2015)Global Signatures and Dynamical Origins of the Little Ice Age and Medieval Climate Anomaly, , , , , , , , and . Science, 326 (5957): 1256--1260 (Nov 27, 2009)Consensus control of higher-order nonlinear multi-agent systems with unknown control directions., , and . Neurocomputing, (2019)3CDB: a manually curated database of chromosome conformation capture data., , , , , and . Database J. Biol. Databases Curation, (2016)Observer design for control and fault diagnosis of Boolean networks.. Kaiserslautern University of Technology, Germany, (2022)Efficient Algorithms and Error Analysis for the Modified Nystrom Method., and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 996-1004. JMLR.org, (2014)Approximate Newton Methods and Their Local Convergence., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3931-3939. PMLR, (2017)Embedding Additional Behaviors into Users' Daily Routines for Improving Users' Awareness of Self-Health Condition., , , , and . BCSS@PERSUASIVE, volume 2662 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Observer design for Boolean control networks., , and . CDC, page 6272-6277. IEEE, (2016)