Reddi, Sashank J.

On the Convergence of Adam and Beyond

Reddi, S. J., Kale, S., & Kumar, S. (2019) · arXiv

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 1,771

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Karimireddy, S. P., Kale, S., Mohri, M., Reddi, S. J., Stich, S. U., & Suresh, A. T. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 1,734

Adaptive Federated Optimization

Reddi, S., Charles, Z., Zaheer, M., Garrett, Z., Rush, K., Konečný, J., Kumar, S., & McMahan, H. B. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 840

Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds

Zhang, H., Reddi, S. J., & Sra, S. (2016) · arXiv

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 140

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Karimireddy, S. P., Jaggi, M., Kale, S., Mohri, M., Reddi, S. J., Stich, S. U., & Suresh, A. T. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 96

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

Low-Rank Bottleneck in Multi-head Attention Models

Bhojanapalli, S., Yun, C., Rawat, A. S., Reddi, S. J., & Kumar, S. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 46

Reasoning with Latent Thoughts: On the Power of Looped Transformers

Saunshi, N., Dikkala, N., Li, Z., Kumar, S., & Reddi, S. J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2