Vassilvitskii, Sergei

Competitive Caching with Machine Learned Advice

Lykouris, T., & Vassilvitskii, S. (2021) · Journal of the ACM

Optimization and Search ProblemsAlgorithms and Data Compression

Cited by 172

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Ponomareva, N., Hazimeh, H., Kurakin, A., Xu, Z., Denison, C., McMahan, H. B., Vassilvitskii, S., Chien, S., & Thakurta, A. G. (2023) · Journal of Artificial Intelligence Research

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 166

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Revenue Optimization with Approximate Bid Predictions

Medina, A. M., & Vassilvitskii, S. (2017) · arXiv

Auction Theory and ApplicationsAdvanced Bandit Algorithms Research

Cited by 51