🧑‍🔬 Carlos Guestrin — all works

31 works · ← Carlos Guestrin

1. XGBoost: A Scalable Tree Boosting System ↗arXiv (Cornell University) · no summary yetChen, Tianqi, Carlos Guestrin2016 · 7,712 citations
2. Cost-effective outbreak detection in networks ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetJure Leskovec et al.2007 · 2,508 citations
3. Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetMarco Tulio Ribeiro et al.2020 · 1,399 citations
4. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
5. "Why Should I Trust You?": Explaining the Predictions of Any ClassifierarXiv:1602.04938Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin2016 · 1,205 citations
6. Semantically Equivalent Adversarial Rules for Debugging NLP models ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMarco Tulio Ribeiro, Sameer Singh, Carlos Guestrin2018 · 629 citations
7. The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms ↗Journal of Water Resources Planning and Management · no summary yetAvi Ostfeld et al.2008 · 580 citations
8. Learning structured prediction models ↗International Conference on Machine Learning · no summary yetBen Taskar et al.2005 · 502 citations
9. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
10. Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks ↗Journal of Water Resources Planning and Management · no summary yetAndreas Krause et al.2008 · 415 citations
11. Learning to Optimize Tensor Programs ↗arXiv:1805.08166 · no summary yetTianqi Chen et al.2019 · 269 citations
12. Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks ↗IEEE Security and Privacy Workshops (SPW) · no summary yetDaniel D. Kang et al.2024 · 206 citations
13. A Hardware–Software Blueprint for Flexible Deep Learning Specialization ↗IEEE Micro · no summary yetThierry Moreau et al.2019 · 184 citations
14. Are Red Roses Red? Evaluating Consistency of Question-Answering Models ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetMarco Tulio Ribeiro, Carlos Guestrin, Sameer Singh2019 · 158 citations
15. Optimizing generative AI by backpropagating language model feedback ↗Nature · no summary yetMert Yüksekgönül et al.2025 · 115 citations
16. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
17. Reinforcement Learning via Self-Distillation ↗arXiv:2601.20802 · no summary yetJonas Hubotter et al.2026 · 74 citations
18. Information Survival Threshold in Sensor and P2P Networks ↗no summary yetDeepayan Chakrabarti et al.2007 · 66 citations
19. Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization ↗no summary yetAndreas Krause et al.2008 · 49 citations
20. Data association for topic intensity tracking ↗International Conference on Machine Learning · no summary yetAndreas Krause, Jure Leskovec, Carlos Guestrin2006 · 47 citations
21. Benchmarking Distributional Alignment of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto2025 · 35 citations
22. Information cartography ↗Communications of the ACM · no summary yetDafna Shahaf et al.2015 · 30 citations
23. End-to-End Test-Time Training for Long Context ↗arXiv (Cornell University) · no summary yetArnuv Tandon et al.2025 · 10 citations
24. Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data ↗arXiv (Cornell University) · no summary yetRanjan, Rishabh et al.2025 · 7 citations
25. Learning to (Learn at Test Time) ↗arXiv:2310.13807 · no summary yetYu Sun et al.2023 · 6 citations
26. Model Equality Testing: Which Model Is This API Serving? ↗arXiv (Cornell University) · no summary yetIrena Gao, Percy Liang, Carlos Guestrin2024 · 5 citations
27. Modeling Link Qualities in a Sensor Network ↗Informatica · no summary yetJure Leskovec, Purnamrita Sarkar, Carlos Guestrin2005 · 5 citations
28. PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models ↗arXiv (Cornell University) · no summary yetVignesh Kothapalli et al.2026 · 4 citations
29. Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning ↗arXiv (Cornell University) · no summary yetQinan Yu et al.2026 · 1 citation
30. What Happens When the Model Eats the Stack? Rethinking the Research Agenda for Data Agents to Withstand the Bitter Lesson ↗arXiv (Cornell University) · no summary yetLiana Patel et al.2026
31. fakulta Karlovy univerzity ↗no summary yetJure Leskovec, Purnamrita Sarkar, Carlos Guestrin2008

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