Tatjana Chavdarova

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Linearly Constrained

Variational Inequalities

Top Venues

Publications

Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael I. Jordan
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints. ICLR (2024)
Julien Heitmann, Alban Glangetas, Jonathan Doenz, Juliane Dervaux, Deeksha M. Shama, Daniel Hinjos Garcia, Mohamed Rida Benissa, Aymeric Cantais, Alexandre Perez, Daniel Müller, Tatjana Chavdarova, Isabelle Ruchonnet-Metrailler, Johan N. Siebert, Laurence Lacroix, Martin Jaggi, Alain Gervaix, Mary-Anne Hartley, Florence Hugon, Derrick Fassbind, Makura Barro, Georges Bediang, N. E. L. Hafidi, M. Bouskraoui, Idrissa Ba
DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries. npj Digit. Medicine 6 (2023)
Tong Yang, Michael I. Jordan, Tatjana Chavdarova
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method. ICLR (2023)
Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Michael I. Jordan, Tatjana Chavdarova
Improving Generalization via Uncertainty Driven Perturbations. CoRR (2022)
Tatjana Chavdarova, Ya-Ping Hsieh, Michael I. Jordan
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata. CoRR (2022)
Tatjana Chavdarova, Matteo Pagliardini, Tong Yang, Michael I. Jordan
Revisiting the ACVI Method for Constrained Variational Inequalities. CoRR (2022)
Tong Yang, Michael I. Jordan, Tatjana Chavdarova
Solving Constrained Variational Inequalities via an Interior Point Method. CoRR (2022)
Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova
Semantic Perturbations with Normalizing Flows for Improved Generalization. ICCV (2021)
Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova
Semantic Perturbations with Normalizing Flows for Improved Generalization. CoRR (2021)
Tatjana Chavdarova, Michael I. Jordan, Manolis Zampetakis
Last-Iterate Convergence of Saddle Point Optimizers via High-Resolution Differential Equations. CoRR (2021)
Yehao Liu, Matteo Pagliardini, Tatjana Chavdarova, Sebastian U. Stich
The Peril of Popular Deep Learning Uncertainty Estimation Methods. CoRR (2021)
Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich, François Fleuret, Martin Jaggi
Taming GANs with Lookahead-Minmax. ICLR (2021)
Tatjana Chavdarova, Matteo Pagliardini, Martin Jaggi, François Fleuret
Taming GANs with Lookahead. CoRR (2020)
Mandana Samiei, Caroline Weis, Larissa Schiavo, Tatjana Chavdarova, Fariba Yousefi
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020. CoRR (2020)
Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien
Reducing Noise in GAN Training with Variance Reduced Extragradient. NeurIPS (2019)
Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien
Reducing Noise in GAN Training with Variance Reduced Extragradient. CoRR (2019)
Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur M. Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. CVPR (2018)
Tatjana Chavdarova, François Fleuret
SGAN: An Alternative Training of Generative Adversarial Networks. CVPR (2018)
Tatjana Chavdarova, François Fleuret
SGAN: An Alternative Training of Generative Adversarial Networks. CoRR (2017)
Tatjana Chavdarova, François Fleuret
Deep Multi-camera People Detection. ICMLA (2017)
Tatjana Chavdarova, François Fleuret
Deep Multi-camera People Detection. CoRR (2017)
Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret
The WILDTRACK Multi-Camera Person Dataset. CoRR (2017)
Sonja Gievska, Kiril Koroveshovski, Tatjana Chavdarova
A Hybrid Approach for Emotion Detection in Support of Affective Interaction. ICDM Workshops (2014)