KEYNOTE: A (Con)Sequential View of Information for Statistical Learning and Optimization

Visit talk page

Majorizing Measures, Codes, and Information

Visit talk page

On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations

Visit talk page

Secure Distributed Matrix Multiplication

Visit talk page

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

Visit talk page

Optimal Neural Network Compressors and the Manifold Hypothesis

Visit talk page

Generalization bounds for Neural Network Based Decoders

Visit talk page

Information-theoretic Foundations of Generative Adversarial Models: Addressing Training Instabilities

Visit talk page

KEYNOTE: Differential Privacy & Variants

Visit talk page

Contraction of Markov kernels and differential privacy (PART II)

Visit talk page