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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)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)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)Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss., and . COLT, volume 125 of Proceedings of Machine Learning Research, page 1305-1338. PMLR, (2020)Finding Global Minima via Kernel Approximations., , and . CoRR, (2020)Classifier Calibration with ROC-Regularized Isotonic Regression., , and . CoRR, (2023)On the relationship between multivariate splines and infinitely-wide neural networks.. CoRR, (2023)A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip., , , , , , , and . CoRR, (2021)