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Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs., and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 525-533. JMLR.org, (2013)Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression., , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 172-180. JMLR.org, (2013)Robust Discriminative Clustering with Sparse Regularizers., , and . CoRR, (2016)Online dictionary learning for sparse coding., , , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 689-696. ACM, (2009)Gossip of Statistical Observations using Orthogonal Polynomials., , and . CoRR, (2018)Sharp Analysis of Learning with Discrete Losses., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1920-1929. PMLR, (2019)Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 2294-2340. PMLR, (2019)Many-to-Many Graph Matching: A Continuous Relaxation Approach., , and . ECML/PKDD (3), volume 6323 of Lecture Notes in Computer Science, page 515-530. Springer, (2010)Classifier Calibration with ROC-Regularized Isotonic Regression., , and . CoRR, (2023)Finding Global Minima via Kernel Approximations., , and . CoRR, (2020)