Bousquet, Olivier

Consistency of spectral clustering

von Luxburg, U., Belkin, M., & Bousquet, O. (2008) · The Annals of Statistics

Advanced Clustering Algorithms ResearchStatistical Methods and Inference

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Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Zhou, D., Schärli, N., Hou, L., Wei, J., Scales, N., Wang, X., Schuurmans, D., Cui, C., Bousquet, O., Le, Q., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 380

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Keysers, D., Schärli, N., Scales, N., Buisman, H., Furrer, D., Kashubin, S., Momchev, N., Sinopalnikov, D., Stafiniak, L., Tihon, T., et al. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 264

Evaluating Predictive Uncertainty Challenge

Quiñonero-Candela, J., Rasmussen, C. E., Sinz, F., Bousquet, O., & Schölkopf, B. (2006) · Lecture Notes in Computer Science

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

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Ministral 3

Liu, A. H., Khandelwal, K., Subramanian, S., Jouault, V., Rastogi, A., Sadé, A., Jeffares, A., Jiang, A., Cahill, A., Gavaudan, A., et al. (2026) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 64