Search Results - "Steinhardt, Jacob"

Stronger data poisoning attacks break data sanitization defenses.

Authors: Koh, Pang Wei Steinhardt, Jacob Liang, Percy

Source: Machine Learning; Jan2022, Vol. 111 Issue 1, p1-47, 47p

Troubling Trends in Machine Learning Scholarship: Some ML papers suffer from flaws that could mislead the public and stymie future research.

Authors: Lipton, Zachary C. Steinhardt, Jacob

Source: ACM Queue; Jan/Feb2019, Vol. 17 Issue 1, p45-77, 33p

Limitations of large language models in clinical problem-solving arising from inflexible reasoning.

Authors: Kim, Jonathan Podlasek, Anna Shidara, Kie et al.

Source: Scientific Reports. 11/11/2025, Vol. 15 Issue 1, p1-12. 12p.

Research for Practice: Troubling Trends in Machine-Learning Scholarship.

Authors: LIPTON, ZACHARY C. STEINHARDT, JACOB

Source: Communications of the ACM; Jun2019, Vol. 62 Issue 6, p45-53, 9p

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review.

Authors: Hagendorff, Thilo¹, thilo.hagendorff@iris.uni-stuttgart.de

Source: Minds & Machines; Dec2024, Vol. 34 Issue 4, p1-27, 27p

Balancing Large Language Model Alignment and Algorithmic Fidelity in Social Science Research.

Authors: Lyman, Alex Hepner, Bryce Argyle, Lisa P. et al.

Source: Sociological Methods & Research. Aug2025, Vol. 54 Issue 3, p1110-1155. 46p.

Simulating Subjects: The Promise and Peril of Artificial Intelligence Stand-Ins for Social Agents and Interactions.

Authors: Kozlowski, Austin C. Evans, James

Source: Sociological Methods & Research. Aug2025, Vol. 54 Issue 3, p1017-1073. 57p.

Robust estimation via generalized quasi-gradients.

Authors: Zhu, Banghua Jiao, Jiantao Steinhardt, Jacob

Source: Information & Inference: A Journal of the IMA; Jun2022, Vol. 11 Issue 2, p581-636, 56p

A Robust Countermeasures for Poisoning Attacks on Deep Neural Networks of Computer Interaction Systems.

Authors: Liu, I-Hsien Li, Jung-Shian Peng, Yen-Chu et al.

Source: Applied Sciences (2076-3417); Aug2022, Vol. 12 Issue 15, p7753-7753, 18p

The Regress of Uncertainty and the Forecasting Paradox.

Authors: Taleb, Nassim Nicholas Cirillo, Pasquale

Source: Risks. Dec2025, Vol. 13 Issue 12, p247. 24p.

Without journalists, there is no journalism: the social dimension of generative artificial intelligence in the media.

Authors: Peña-Fernández, Simón Meso-Ayerdi, Koldobika Larrondo-Ureta, Ainara et al.

Source: Profesional de la Información; 2023, Vol. 32 Issue 2, p1-15, 15p

Correlation Metrics for Safe Artificial Intelligence.

Authors: Babaei, Golnoosh Giudici, Paolo

Source: Risks. Sep2025, Vol. 13 Issue 9, p178. 12p.

Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning.

Authors: Hagendorff, Thilo¹, thilo.hagendorff@uni-tuebingen.de

Source: Minds & Machines; Dec2021, Vol. 31 Issue 4, p563-593, 31p

Robust Statistics Tackle New Problems.

Authors: Steinhardt, Jacob S.¹

Source: Communications of the ACM. May2021, Vol. 64 Issue 5, p106-106. 1p.

Incarceration And COVID-19.

Authors: Pierson, Leah Pierson, Miriam Steinhardt, Jacob et al.

Source: Health Affairs. Jan2021, Vol. 40 Issue 1, p177-178. 2p.

Finite-time regional verification of stochastic non-linear systems.

Authors: Steinhardt, Jacob Tedrake, Russ

Source: International Journal of Robotics Research; Jun2012, Vol. 31 Issue 7, p901-923, 23p

Learning Equilibria in Matching Markets with Bandit Feedback.

Authors: JAGADEESAN, MEENA WEI, ALEXANDER YIXIN WANG et al.

Source: Journal of the ACM. Jun2023, Vol. 70 Issue 3, p1-46. 46p.

Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification.

Authors: DEYIN LIU LIN (YUANBO) WU RICHANG HONG et al.

Source: ACM Transactions on Multimedia Computing, Communications & Applications; Jan2023, Vol. 19 Issue 1, p1-19, 19p

Comparison of effectiveness between ChatGPT 3.5 and 4 in understanding different natural languages.

Authors: Erös, Bernhard Gritsch, Christoph Tick, Andrea et al.

Source: Journal of Intelligence Studies in Business. 2024, Vol. 14 Issue 2, p77-97. 21p.

Algorithms at War: The Promise, Peril, and Limits of Artificial Intelligence.

Authors: Jensen, Benjamin M Whyte, Christopher Cuomo, Scott

Source: International Studies Review. Sep2020, Vol. 22 Issue 3, p526-550. 25p.