A New First-Order Meta-Learning Algorithm with Convergence Guarantees von Chayti, El Mahdi, Jaggi, Martin

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Improving Stochastic Cubic Newton with Momentum von Chayti, El Mahdi, Doikov, Nikita, Jaggi, Martin

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Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods von Chayti, El Mahdi, Doikov, Nikita, Jaggi, Martin

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Second-order optimization with lazy Hessians von Doikov, Nikita, Chayti, El Mahdi, Jaggi, Martin

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Optimization with Access to Auxiliary Information von Chayti, El Mahdi, Karimireddy, Sai Praneeth

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A New First-Order Meta-Learning Algorithm with Convergence Guarantees von El Mahdi Chayti, Jaggi, Martin

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Improving Stochastic Cubic Newton with Momentum von El Mahdi Chayti, Doikov, Nikita, Jaggi, Martin

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Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods von El Mahdi Chayti, Doikov, Nikita, Jaggi, Martin

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Optimization with Access to Auxiliary Information von El Mahdi Chayti, Sai Praneeth Karimireddy

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Second-order optimization with lazy Hessians von Doikov, Nikita, El Mahdi Chayti, Jaggi, Martin

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Linear Speedup in Personalized Collaborative Learning von Chayti, El Mahdi, Karimireddy, Sai Praneeth, Stich, Sebastian U, Flammarion, Nicolas, Jaggi, Martin

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Linear Speedup in Personalized Collaborative Learning von El Mahdi Chayti, Sai Praneeth Karimireddy, Stich, Sebastian U, Flammarion, Nicolas, Jaggi, Martin

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