A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. - Phitchaya Mangpo Phothilimthana; Amit Sabne; Nikhil Sarda; Karthik Srinivasa Murthy; Yanqi Zhou; Christof Angermueller; Mike Burrows; Sudip Roy 002; Ketan Mandke; Rezsa Farahani; Yu Emma Wang; Berkin Ilbeyi; et al. (PACT, 2021)

Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models. - Aldo Gael Carranza; Rezsa Farahani; Natalia Ponomareva 001; Alex Kurakin; Matthew Jagielski; Milad Nasr (CoRR, 2023)

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models. - Aldo G. Carranza; Rezsa Farahani; Natalia Ponomareva 001; Alexey Kurakin; Matthew Jagielski; Milad Nasr (NAACL-HLT, 2024)

Random Search as a Baseline for Sparse Neural Network Architecture Search. - Rezsa Farahani (CoRR, 2024)