Poster Session (Click to view Presenters & Topics)

Poster Presenters & Topics are:

Wael Alghamdi Conditional Information Projection and Applications to Fair Machine Learning

Maryam Aliakbarpour Private Testing of Distributions via Sample Permutations

Wei-Ning Chen Fundamental Price of Secure Aggregation in Differentially Private Fedearated Learning

Faisal Hamman Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees

Jacob Imola Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model

Berivan* Isik Exact Optimality in Communication-Privacy-Utility Tradeoffs

Abhimanyu Kumar A Nonparametric Technique for Multiple Change-Point Detection

Yue Niu 3 Leg Race: Privacy-Preserving DNN Training over TEEs and GPUs

Bhagyashree Puranik Long-Term Fairness in Sequential Decision-Making through Positive Reinforcement

Ruchira Ray Theoretical Guarantees for Data Dependent Posterior Tempering

Daria* Reshetova Understanding entropic regularization in GANs

Olawale* Salaudeen Towards Distributionally Robust Machine Learning

Katherine* Tsai Latent Multimodal Functional Graphical Model Estimation

Monica Welfert Addressing GAN Training Instabilities via Dual Objectives

David* Wu Lower Bounds for Multiclass Classification in Spiked Covariance Models

Andrew* Perley A Fourier Basis Generalized Linear Model for Phase Amplitude Coupling