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733 Results
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Poster
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Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms Alex Elenter · Spyros Angelopoulos · Christoph Dürr · Yanni LEFKI |
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Poster
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Wed 11:00 |
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity Qihao Zhou · Haishan Ye · Luo Luo |
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Poster
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Thu 16:30 |
Optimization-based Causal Estimation from Heterogeneous Environments Mingzhang Yin · Yixin Wang · David Blei |
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Poster
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Fri 11:00 |
Resolving Discrepancies in Compute-Optimal Scaling of Language Models Tomer Porian · Mitchell Wortsman · Jenia Jitsev · Ludwig Schmidt · Yair Carmon |
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Poster
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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 |
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Poster
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Wed 11:00 |
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions Hilal Asi · Daogao Liu · Kevin Tian |
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Poster
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Thu 11:00 |
Instance-Optimal Private Density Estimation in the Wasserstein Distance Vitaly Feldman · Audra McMillan · Satchit Sivakumar · Kunal Talwar |
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Poster
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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 |
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Poster
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Wed 11:00 |
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD Aniket Das · Dheeraj Nagaraj · Soumyabrata Pal · Arun Suggala · Prateek Varshney |
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Poster
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Wed 16:30 |
4+3 Phases of Compute-Optimal Neural Scaling Laws Elliot Paquette · Courtney Paquette · Lechao Xiao · Jeffrey Pennington |
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Poster
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Thu 11:00 |
Reinforcement Learning with LTL and -Regular Objectives via Optimality-Preserving Translation to Average Rewards Xuan Bach Le · Dominik Wagner · Leon Witzman · Alexander Rabinovich · Luke Ong |
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Poster
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Fri 11:00 |
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu · Minghui Zhu |