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Tatjana Chavdarova
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2020 – today
- 2024
- [c9]Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael I. Jordan:
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints. ICLR 2024 - [i15]Baraah A. M. Sidahmed, Tatjana Chavdarova:
Variational Inequality Methods for Multi-Agent Reinforcement Learning: Performance and Stability Gains. CoRR abs/2410.07976 (2024) - [i14]Eric Zhao, Tatjana Chavdarova, Michael I. Jordan:
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity. CoRR abs/2410.20649 (2024) - 2023
- [j1]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) - [c8]Tong Yang, Michael I. Jordan, Tatjana Chavdarova:
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method. ICLR 2023 - 2022
- [i13]Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Michael I. Jordan, Tatjana Chavdarova:
Improving Generalization via Uncertainty Driven Perturbations. CoRR abs/2202.05737 (2022) - [i12]Tong Yang, Michael I. Jordan, Tatjana Chavdarova:
Solving Constrained Variational Inequalities via an Interior Point Method. CoRR abs/2206.10575 (2022) - [i11]Tatjana Chavdarova, Ya-Ping Hsieh, Michael I. Jordan:
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata. CoRR abs/2207.07105 (2022) - [i10]Tatjana Chavdarova, Matteo Pagliardini, Tong Yang, Michael I. Jordan:
Revisiting the ACVI Method for Constrained Variational Inequalities. CoRR abs/2210.15659 (2022) - 2021
- [c7]Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova:
Semantic Perturbations with Normalizing Flows for Improved Generalization. ICCV 2021: 6599-6609 - [c6]Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich, François Fleuret, Martin Jaggi:
Taming GANs with Lookahead-Minmax. ICLR 2021 - [i9]Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova:
Semantic Perturbations with Normalizing Flows for Improved Generalization. CoRR abs/2108.07958 (2021) - [i8]Yehao Liu, Matteo Pagliardini, Tatjana Chavdarova, Sebastian U. Stich:
The Peril of Popular Deep Learning Uncertainty Estimation Methods. CoRR abs/2112.05000 (2021) - [i7]Tatjana Chavdarova, Michael I. Jordan, Manolis Zampetakis:
Last-Iterate Convergence of Saddle Point Optimizers via High-Resolution Differential Equations. CoRR abs/2112.13826 (2021) - 2020
- [i6]Tatjana Chavdarova, Matteo Pagliardini, Martin Jaggi, François Fleuret:
Taming GANs with Lookahead. CoRR abs/2006.14567 (2020) - [i5]Mandana Samiei, Caroline Weis, Larissa Schiavo, Tatjana Chavdarova, Fariba Yousefi:
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020. CoRR abs/2012.01191 (2020)
2010 – 2019
- 2019
- [c5]Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien:
Reducing Noise in GAN Training with Variance Reduced Extragradient. NeurIPS 2019: 391-401 - [i4]Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien:
Reducing Noise in GAN Training with Variance Reduced Extragradient. CoRR abs/1904.08598 (2019) - 2018
- [c4]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: 5030-5039 - [c3]Tatjana Chavdarova, François Fleuret:
SGAN: An Alternative Training of Generative Adversarial Networks. CVPR 2018: 9407-9415 - 2017
- [c2]Tatjana Chavdarova, François Fleuret:
Deep Multi-camera People Detection. ICMLA 2017: 848-853 - [i3]Tatjana Chavdarova, François Fleuret:
Deep Multi-camera People Detection. CoRR abs/1702.04593 (2017) - [i2]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 abs/1707.09299 (2017) - [i1]Tatjana Chavdarova, François Fleuret:
SGAN: An Alternative Training of Generative Adversarial Networks. CoRR abs/1712.02330 (2017) - 2014
- [c1]Sonja Gievska, Kiril Koroveshovski, Tatjana Chavdarova:
A Hybrid Approach for Emotion Detection in Support of Affective Interaction. ICDM Workshops 2014: 352-359
Coauthor Index
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