Guestrin, Carlos

XGBoost: A Scalable Tree Boosting System

Chen, T., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 54,569

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 17,555

XGBoost: A Scalable Tree Boosting System

Chen, T., & Guestrin, C. (2016) · arXiv

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 7,104

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

Ribeiro, M., Singh, S., & Guestrin, C. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 6,682

Anchors: High-Precision Model-Agnostic Explanations

Ribeiro, M. T., Singh, S., & Guestrin, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 2,162

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Ribeiro, M. T., Wu, T., Guestrin, C., & Singh, S. (2020) · arXiv

Software Testing and Debugging TechniquesTopic Modeling

Cited by 901

Beyond accuracy: behavioral testing of NLP models with CheckList

Ribeiro, M. T., Wu, T., Guestrin, C., & Singh, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Software Testing and Debugging TechniquesTopic Modeling

Cited by 890

Model-Agnostic Interpretability of Machine Learning

Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 699

Training Deep Nets with Sublinear Memory Cost

Chen, T., Xu, B., Zhang, C., & Guestrin, C. (2016) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 561

Over-optimization of academic publishing metrics: observing Goodhart's Law in action

Fire, M., & Guestrin, C. (2019) · GigaScience

scientometrics and bibliometrics researchWeb visibility and informetrics

Cited by 351

Learning Everything about Anything: Webly-Supervised Visual Concept Learning

Divvala, S. K., Farhadi, A., & Guestrin, C. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 267

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., & Hashimoto, T. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 114

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., & Hashimoto, T. (2024) · 2024 IEEE Security and Privacy Workshops (SPW)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 114

Optimizing generative AI by backpropagating language model feedback

Yuksekgonul, M., Bianchi, F., Boen, J., Liu, S., Lu, P., Huang, Z., Guestrin, C., & Zou, J. (2025) · Nature

Artificial Intelligence ApplicationsTopic Modeling

Cited by 85

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Dubois, Y., Li, X., Taori, R., Zhang, T., Gulrajani, I., Ba, J., Guestrin, C., Liang, P., & Hashimoto, T. B. (2023) · arXiv

Reinforcement Learning in RoboticsSimulation Techniques and Applications

Cited by 78

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Dubois, Y., Li, C. X., Taori, R., Zhang, T., Gulrajani, I., Ba, J., Guestrin, C., Liang, P., & Hashimoto, T. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsSimulation Techniques and Applications

Cited by 76

Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS

Patel, L., Jha, S., Pan, M., Gupta, H., Asawa, P., Guestrin, C., & Zaharia, M. (2025) · Proceedings of the VLDB Endowment

Advanced Database Systems and QueriesTopic Modeling

Cited by 23

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Sun, Y., Li, X., Dalal, K., Xu, J., Vikram, A., Zhang, G., Dubois, Y., Chen, X., Wang, X., Koyejo, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

TextGrad: Automatic "Differentiation" via Text

Yuksekgonul, M., Bianchi, F., Boen, J., Liu, S., Huang, Z., Guestrin, C., & Zou, J. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 12

Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Patel, L., Jha, S., Pan, M., Gupta, H., Asawa, P., Guestrin, C., & Zaharia, M. (2024) · arXiv

Advanced Database Systems and QueriesTopic Modeling

Cited by 9

The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations

Worledge, T., Hashimoto, T., & Guestrin, C. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

Learning to Discover at Test Time

Yuksekgonul, M., Koceja, D., Li, X., Bianchi, F., McCaleb, J., Wang, X., Kautz, J., Choi, Y., Zou, J., Guestrin, C., et al. (2026) · arXiv

Artificial Intelligence ApplicationsEvolutionary Algorithms and Applications

Cited by 1

DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis

Patel, L., Arabzadeh, N., Gupta, H., Sundar, A., Stoica, I., Zaharia, M., & Guestrin, C. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Model equality testing: Which model is this api serving?

Gao, I., Liang, P., & Guestrin, C. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 0