DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries von Heitmann, Julien, Glangetas, Alban, Doenz, Jonathan, Dervaux, Juliane, Shama, Deeksha M., Garcia, Daniel Hinjos, Benissa, Mohamed Rida, Cantais, Aymeric, Perez, Alexandre, Müller, Daniel, Chavdarova, Tatjana, Ruchonnet-Metrailler, Isabelle, Siebert, Johan N., Lacroix, Laurence, Jaggi, Martin, Gervaix, Alain, Hartley, Mary-Anne

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What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response von Mannarini, Giorgio, Posa, Francesco, Bossy, Thierry, Massemin, Lucas, Fernandez-Castanon, Javier, Chavdarova, Tatjana, Cañas, Pablo, Gupta, Prakhar, Jaggi, Martin, Hartley, Mary-Anne

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On the Hypomonotone Class of Variational Inequalities von Alomar, Khaled, Chavdarova, Tatjana

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What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response von Giorgio Mannarini, Francesco Posa, Thierry Bossy, Lucas Massemin, Javier Fernandez-Castanon, Tatjana Chavdarova, Pablo Cañas, Prakhar Gupta, Martin Jaggi, Mary-Anne Hartley

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Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity von Zhao, Eric, Chavdarova, Tatjana, Jordan, Michael

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Variational Inequality Methods for Multi-Agent Reinforcement Learning: Performance and Stability Gains von Sidahmed, Baraah A. M, Chavdarova, Tatjana

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On the Hypomonotone Class of Variational Inequalities von Alomar, Khaled, Chavdarova, Tatjana

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Solving Constrained Variational Inequalities via a First-order Interior Point-based Method von Yang, Tong, Jordan, Michael I, Chavdarova, Tatjana

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Last-Iterate Convergence of Saddle-Point Optimizers via High-Resolution Differential Equations von Chavdarova, Tatjana, Jordan, Michael I, Zampetakis, Manolis

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A Primal-Dual Approach to Solving Variational Inequalities with General Constraints von Chavdarova, Tatjana, Yang, Tong, Pagliardini, Matteo, Jordan, Michael I

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SGAN: An Alternative Training of Generative Adversarial Networks von Chavdarova, Tatjana, Fleuret, François

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Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity von Zhao, Eric, Chavdarova, Tatjana, Jordan, Michael

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Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata von Chavdarova, Tatjana, Hsieh, Ya-Ping, Jordan, Michael I

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Variational Inequality Methods for Multi-Agent Reinforcement Learning: Performance and Stability Gains von Sidahmed, Baraah A M, Chavdarova, Tatjana

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Deep Multi-camera People Detection von Chavdarova, Tatjana, Fleuret, François

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The Peril of Popular Deep Learning Uncertainty Estimation Methods von Liu, Yehao, Pagliardini, Matteo, Chavdarova, Tatjana, Stich, Sebastian U

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Semantic Perturbations with Normalizing Flows for Improved Generalization von Yuksel, Oguz Kaan, Stich, Sebastian U, Jaggi, Martin, Chavdarova, Tatjana

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Last-Iterate Convergence of Saddle-Point Optimizers via High-Resolution Differential Equations von Chavdarova, Tatjana, Jordan, Michael I, Zampetakis, Manolis

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Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020 von Samiei, Mandana, Weis, Caroline, Schiavo, Larissa, Chavdarova, Tatjana, Yousefi, Fariba

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Solving Constrained Variational Inequalities via a First-order Interior Point-based Method von Yang, Tong, Jordan, Michael I, Chavdarova, Tatjana

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