Search Results - "Maddison, Chris J."

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model

Fallahpour, Adibvafa, Magnuson, Andrew, Gupta, Purav, Ma, Shihao, Naimer, Jack, Shah, Arnav, Duan, Haonan, Ibrahim, Omar, Goodarzi, Hani, Maddison, Chris J., Wang, Bo

Enumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems in Math Competitions

Sun, Jialiang, Tang, Yuzhi, Li, Ao, Maddison, Chris J., Meel, Kuldeep S.

Reasoning to Learn from Latent Thoughts

Ruan, Yangjun, Band, Neil, Maddison, Chris J., Hashimoto, Tatsunori

MixMin: Finding Data Mixtures via Convex Minimization

Thudi, Anvith, Rovers, Evianne, Ruan, Yangjun, Thrush, Tristan, Maddison, Chris J.

On the Efficiency of ERM in Feature Learning

Hanchi, Ayoub El, Maddison, Chris J., Erdogdu, Murat A.

End-To-End Causal Effect Estimation from Unstructured Natural Language Data

Dhawan, Nikita, Cotta, Leonardo, Ullrich, Karen, Krishnan, Rahul G., Maddison, Chris J.

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts

Dong, Honghua, Su, Qidong, Gao, Yubo, Li, Zhaoyu, Ruan, Yangjun, Pekhimenko, Gennady, Maddison, Chris J., Si, Xujie

Minimax Linear Regression under the Quantile Risk

Hanchi, Ayoub El, Maddison, Chris J., Erdogdu, Murat A.

Test-Time Fairness and Robustness in Large Language Models

Cotta, Leonardo, Maddison, Chris J.

MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures

Thudi, Anvith, Maddison, Chris J.

Observational Scaling Laws and the Predictability of Language Model Performance

Ruan, Yangjun, Maddison, Chris J., Hashimoto, Tatsunori

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs

Johnson, Daniel D., Tarlow, Daniel, Duvenaud, David, Maddison, Chris J.

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Ruan, Yangjun, Dong, Honghua, Wang, Andrew, Pitis, Silviu, Zhou, Yongchao, Ba, Jimmy, Dubois, Yann, Maddison, Chris J., Hashimoto, Tatsunori

Probabilistic Invariant Learning with Randomized Linear Classifiers

Cotta, Leonardo, Yehuda, Gal, Schuster, Assaf, Maddison, Chris J.

Benchmarking Neural Network Training Algorithms

Dahl, George E., Schneider, Frank, Nado, Zachary, Agarwal, Naman, Sastry, Chandramouli Shama, Hennig, Philipp, Medapati, Sourabh, Eschenhagen, Runa, Kasimbeg, Priya, Suo, Daniel, Bae, Juhan, Gilmer, Justin, Peirson, Abel L., Khan, Bilal, Anil, Rohan, Rabbat, Mike, Krishnan, Shankar, Snider, Daniel, Amid, Ehsan, Chen, Kongtao, Maddison, Chris J., Vasudev, Rakshith, Badura, Michal, Garg, Ankush, Mattson, Peter

Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions

Johnson, Daniel D., Hanchi, Ayoub El, Maddison, Chris J.

Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning

Paulus, Max B., Zarpellon, Giulia, Krause, Andreas, Charlin, Laurent, Maddison, Chris J.

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

Gasse, Maxime, Cappart, Quentin, Charfreitag, Jonas, Charlin, Laurent, Chételat, Didier, Chmiela, Antonia, Dumouchelle, Justin, Gleixner, Ambros, Kazachkov, Aleksandr M., Khalil, Elias, Lichocki, Pawel, Lodi, Andrea, Lubin, Miles, Maddison, Chris J., Morris, Christopher, Papageorgiou, Dimitri J., Parjadis, Augustin, Pokutta, Sebastian, Prouvost, Antoine, Scavuzzo, Lara, Zarpellon, Giulia, Yang, Linxin, Lai, Sha, Wang, Akang, Luo, Xiaodong, Zhou, Xiang, Huang, Haohan, Shao, Shengcheng, Zhu, Yuanming, Zhang, Dong, Quan, Tao, Cao, Zixuan, Xu, Yang, Huang, Zhewei, Zhou, Shuchang, Binbin, Chen, Minggui, He, Hao, Hao, Zhiyu, Zhang, Zhiwu, An, Kun, Mao

Augment with Care: Contrastive Learning for Combinatorial Problems

Duan, Haonan, Vaezipoor, Pashootan, Paulus, Max B., Ruan, Yangjun, Maddison, Chris J.

Bayesian Nonparametrics for Offline Skill Discovery

Villecroze, Valentin, Braviner, Harry J., Naderian, Panteha, Maddison, Chris J., Loaiza-Ganem, Gabriel