Chavdarova, Tatjana

11 publications

ICML 2025 Decoupled SGDA for Games with Intermittent Strategy Communication Ali Zindari, Parham Yazdkhasti, Anton Rodomanov, Tatjana Chavdarova, Sebastian U Stich

ICLR 2024 A Primal-Dual Approach to Solving Variational Inequalities with General Constraints Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael Jordan

ICMLW 2024 Decoupled Stochastic Gradient Descent for N-Player Games Ali Zindari, Parham Yazdkhasti, Tatjana Chavdarova, Sebastian U Stich

NeurIPSW 2024 On the Hypomonotone Class of Variational Inequalities Khaled Alomar, Tatjana Chavdarova

NeurIPSW 2024 Variational Inequality Perspective and Optimizers for Multi-Agent Reinforcement Learning Baraah A. M. Sidahmed, Tatjana Chavdarova

ICLR 2023 Solving Constrained Variational Inequalities via a First-Order Interior Point-Based Method Tong Yang, Michael Jordan, Tatjana Chavdarova

NeurIPSW 2022 Solving Constrained Variational Inequalities via a First-Order Interior Point-Based Method Tong Yang, Michael Jordan, Tatjana Chavdarova

ICCV 2021 Semantic Perturbations with Normalizing Flows for Improved Generalization Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova

ICMLW 2021 Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel, Sebastian U Stich, Martin Jaggi, Tatjana Chavdarova

ICLR 2021 Taming GANs with Lookahead-Minmax Tatjana Chavdarova, Matteo Pagliardini, Sebastian U Stich, François Fleuret, Martin Jaggi

NeurIPS 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien