Gunasekar, Suriya

Learning Non-Discriminatory Predictors

Woodworth, B., Gunasekar, S., Ohannessian, M. I., & Srebro, N. (2017) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 182

Implicit Regularization in Matrix Factorization

Gunasekar, S., Woodworth, B., Bhojanapalli, S., Neyshabur, B., & Srebro, N. (2018) · 2018 Information Theory and Applications Workshop (ITA)

Sparse and Compressive Sensing TechniquesStochastic Gradient Optimization Techniques

Cited by 170

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Abdin, M., Aneja, J., Awadalla, H., Awadallah, A., Awan, A. A., Bach, N., Bahree, A., Bakhtiari, A., Bao, J., Behl, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

Textbooks Are All You Need

Gunasekar, S., Zhang, Y., Aneja, J., Mendes, C. C. T., Del Giorno, A., Gopi, S., Javaheripi, M., Kauffmann, P., de Rosa, G., Saarikivi, O., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 138

Implicit Bias of Gradient Descent on Linear Convolutional Networks

Gunasekar, S., Lee, J., Soudry, D., & Srebro, N. (2018) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 75

Phi-4 Technical Report

Abdin, M., Aneja, J., Behl, H., Bubeck, S., Eldan, R., Gunasekar, S., Harrison, M., Hewett, R. J., Javaheripi, M., Kauffmann, P., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31