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Volkan Cevher

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Volkan Cevher

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Revisiting adversarial training for the worst-performing class

Solving stochastic weak Minty variational inequalities without increasing batch size

DiGress: Discrete Denoising diffusion for graph generation

Regularization of polynomial networks for image recognition

Federated Learning under Covariate Shifts with Generalization Guarantees

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Adversarial Training Should Be Cast As a Non-Zero-Sum Game

Benign Overfitting in Deep Neural Networks under Lazy Training

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Regularization of polynomial networks for image recognition

Benign Overfitting in Deep Neural Networks under Lazy Training

Solving stochastic weak Minty variational inequalities without increasing batch size

DiGress: Discrete Denoising diffusion for graph generation

Regularization of polynomial networks for image recognition

Adversarial Training Should Be Cast As a Non-Zero-Sum Game

Federated Learning under Covariate Shifts with Generalization Guarantees

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Regularization of polynomial networks for image recognition

Revisiting adversarial training for the worst-performing class