Tatjana Chavdarova

According to our database, Tatjana Chavdarova authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity.

Eric Zhao, Tatjana Chavdarova, Michael I. Jordan

CoRR, 2024

Variational Inequality Methods for Multi-Agent Reinforcement Learning: Performance and Stability Gains.

Baraah A. M. Sidahmed, Tatjana Chavdarova

CoRR, 2024

A Primal-Dual Approach to Solving Variational Inequalities with General Constraints.

Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael I. Jordan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries.

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

npj Digit. Medicine, 2023

Solving Constrained Variational Inequalities via a First-order Interior Point-based Method.

Tong Yang, Michael I. Jordan, Tatjana Chavdarova

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Revisiting the ACVI Method for Constrained Variational Inequalities.

Tatjana Chavdarova, Matteo Pagliardini, Tong Yang, Michael I. Jordan

CoRR, 2022

Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata.

Tatjana Chavdarova, Ya-Ping Hsieh, Michael I. Jordan

CoRR, 2022

Solving Constrained Variational Inequalities via an Interior Point Method.

Tong Yang, Michael I. Jordan, Tatjana Chavdarova

CoRR, 2022

Improving Generalization via Uncertainty Driven Perturbations.

Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Michael I. Jordan, Tatjana Chavdarova

CoRR, 2022

2021

Last-Iterate Convergence of Saddle Point Optimizers via High-Resolution Differential Equations.

Tatjana Chavdarova, Michael I. Jordan, Manolis Zampetakis

CoRR, 2021

The Peril of Popular Deep Learning Uncertainty Estimation Methods.

Yehao Liu, Matteo Pagliardini, Tatjana Chavdarova, Sebastian U. Stich

CoRR, 2021

Taming GANs with Lookahead-Minmax.

Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich, François Fleuret, Martin Jaggi

Proceedings of the 9th International Conference on Learning Representations, 2021

Semantic Perturbations with Normalizing Flows for Improved Generalization.

Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020.

Mandana Samiei, Caroline Weis, Larissa Schiavo, Tatjana Chavdarova, Fariba Yousefi

CoRR, 2020

Taming GANs with Lookahead.

Tatjana Chavdarova, Matteo Pagliardini, Martin Jaggi, François Fleuret

CoRR, 2020

2019

Reducing Noise in GAN Training with Variance Reduced Extragradient.

Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

SGAN: An Alternative Training of Generative Adversarial Networks.

Tatjana Chavdarova, François Fleuret

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection.

Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur M. Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

The WILDTRACK Multi-Camera Person Dataset.

Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret

CoRR, 2017

Deep Multi-camera People Detection.

Tatjana Chavdarova, François Fleuret

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2014

A Hybrid Approach for Emotion Detection in Support of Affective Interaction.

Sonja Gievska, Kiril Koroveshovski, Tatjana Chavdarova

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014