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Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator.

, , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7282-7291. PMLR, (2019)

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Efficient Large Scale Linear Programming Support Vector Machines.. ECML, volume 4212 of Lecture Notes in Computer Science, page 767-774. Springer, (2006)Fixed-point algorithms for learning determinantal point processes., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2389-2397. JMLR.org, (2015)Small nonlinearities in activation functions create bad local minima in neural networks., , and . ICLR (Poster), OpenReview.net, (2019)Efficiently testing local optimality and escaping saddles for ReLU networks., , and . ICLR (Poster), OpenReview.net, (2019)Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes., , and . CoRR, (2016)Fixed-point algorithms for determinantal point processes., and . CoRR, (2015)Fast Projections onto ℓ1, q -Norm Balls for Grouped Feature Selection.. ECML/PKDD (3), volume 6913 of Lecture Notes in Computer Science, page 305-317. Springer, (2011)Fast Newton-type Methods for Total Variation Regularization., and . ICML, page 313-320. Omnipress, (2011)Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition., , , and . CoRR, (2019)Toward Understanding State Representation Learning in MuZero: A Case Study in Linear Quadratic Gaussian Control., , , and . CDC, page 6166-6171. IEEE, (2023)