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FLEA: Provably Fair Multisource Learning from Unreliable Training Data


Jun 22, 2021
Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert


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Fairness-Aware Learning from Corrupted Data


Feb 11, 2021
Nikola Konstantinov, Christoph H. Lampert

* 32 pages 

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Fairness Through Regularization for Learning to Rank


Feb 11, 2021
Nikola Konstantinov, Christoph H. Lampert

* 25 pages, 27 figures 

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On the Sample Complexity of Adversarial Multi-Source PAC Learning


Feb 24, 2020
Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert


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Robust Learning from Untrusted Sources


Jan 29, 2019
Nikola Konstantinov, Christoph Lampert


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The Convergence of Sparsified Gradient Methods


Sep 27, 2018
Dan Alistarh, Torsten Hoefler, Mikael Johansson, Sarit Khirirat, Nikola Konstantinov, Cédric Renggli

* NIPS 2018 - Advances in Neural Information Processing Systems; Authors in alphabetic order 

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The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory


Jun 22, 2018
Dan Alistarh, Christopher De Sa, Nikola Konstantinov

* To be published in PoDC 2018; 18 pages, 1 figure; Changes: added pseudocode for Algorithm 2, some references and corrected typos 

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