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Poster
Fri 11:00 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
Dong HUANG · Jianbo Dai · Han Weng · Puzhen Wu · Yuhao QING · Heming Cui · Zhijiang Guo · Jie Zhang
Poster
Fri 11:00 Training Compute-Optimal Protein Language Models
Xingyi Cheng · Bo Chen · Pan Li · Jing Gong · Jie Tang · Le Song
Poster
Fri 11:00 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
Miao Lu · Han Zhong · Tong Zhang · Jose Blanchet
Poster
Wed 11:00 SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
Huy Hoang · Tien Mai · Pradeep Varakantham
Workshop
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees
Ryan Zhang · Herbert Woisetschläger · Shiqiang Wang · Hans Arno Jacobsen
Workshop
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic · Sudeep Salgia · Qing Zhao
Poster
Thu 16:30 Optimization-based Causal Estimation from Heterogeneous Environments
Mingzhang Yin · Yixin Wang · David Blei
Poster
Thu 11:00 Instance-Optimal Private Density Estimation in the Wasserstein Distance
Vitaly Feldman · Audra McMillan · Satchit Sivakumar · Kunal Talwar
Poster
Wed 16:30 4+3 Phases of Compute-Optimal Neural Scaling Laws
Elliot Paquette · Courtney Paquette · Lechao Xiao · Jeffrey Pennington
Poster
Fri 11:00 Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian · Mitchell Wortsman · Jenia Jitsev · Ludwig Schmidt · Yair Carmon
Poster
Thu 16:30 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
Albert Q. Jiang · Alicja Ziarko · Bartosz Piotrowski · Wenda Li · Mateja Jamnik · Piotr Miłoś
Workshop
Pareto-Optimal Learning from Preferences with Hidden Context
Ryan Boldi · Li Ding · Lee Spector · Scott Niekum