Mastering the game of Go with deep neural networks and tree search von Silver, David, Huang, Aja, Maddison, Chris J., Guez, Arthur, Sifre, Laurent, van den Driessche, George, Schrittwieser, Julian, Antonoglou, Ioannis, Panneershelvam, Veda, Lanctot, Marc, Dieleman, Sander, Grewe, Dominik, Nham, John, Kalchbrenner, Nal, Sutskever, Ilya, Lillicrap, Timothy, Leach, Madeleine, Kavukcuoglu, Koray, Graepel, Thore, Hassabis, Demis

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Rapid and Widespread Effects of 17β-Estradiol on Intracellular Signaling in the Male Songbird Brain: A Seasonal Comparison von Heimovics, Sarah A, Prior, Nora H, Maddison, Chris J, Soma, Kiran K

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Soft song during aggressive interactions: Seasonal changes and endocrine correlates in song sparrows von Maddison, Chris J., Anderson, Rindy C., Prior, Nora H., Taves, Matthew D., Soma, Kiran K.

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DUAL SPACE PRECONDITIONING FOR GRADIENT DESCENT von Maddison, Chris J., Paulin, Daniel, Teh, Yee Whye, Doucet, Arnaud

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Test-Time Fairness and Robustness in Large Language Models von Cotta, Leonardo, Maddison, Chris J

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Finding Optimally Robust Data Mixtures via Concave Maximization von Thudi, Anvith, Maddison, Chris J

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Observational Scaling Laws and the Predictability of Language Model Performance von Ruan, Yangjun, Maddison, Chris J, Hashimoto, Tatsunori

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On the Efficiency of ERM in Feature Learning von Hanchi, Ayoub El, Maddison, Chris J, Erdogdu, Murat A

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Minimax Linear Regression under the Quantile Risk von Hanchi, Ayoub El, Maddison, Chris J, Erdogdu, Murat A

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Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs von Johnson, Daniel D, Tarlow, Daniel, Duvenaud, David, Maddison, Chris J

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Finding Optimally Robust Data Mixtures via Concave Maximization von Thudi, Anvith, Maddison, Chris J

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Out-Of-Context Prompting Boosts Fairness and Robustness in Large Language Model Predictions von Cotta, Leonardo, Maddison, Chris J

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Optimal Representations for Covariate Shift von Ruan, Yangjun, Dubois, Yann, Maddison, Chris J

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Probabilistic Invariant Learning with Randomized Linear Classifiers von Cotta, Leonardo, Yehuda, Gal, Schuster, Assaf, Maddison, Chris J

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Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts von Kool, Wouter, Maddison, Chris J, Mnih, Andriy

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Learning to Extend Program Graphs to Work-in-Progress Code von Li, Xuechen, Maddison, Chris J, Tarlow, Daniel

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End-To-End Causal Effect Estimation from Unstructured Natural Language Data von Dhawan, Nikita, Cotta, Leonardo, Ullrich, Karen, Krishnan, Rahul G, Maddison, Chris J

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Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions von Johnson, Daniel D, Hanchi, Ayoub El, Maddison, Chris J

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Hamiltonian descent for composite objectives von O'Donoghue, Brendan, Maddison, Chris J

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Observational Scaling Laws and the Predictability of Language Model Performance von Ruan, Yangjun, Maddison, Chris J, Hashimoto, Tatsunori

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