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733 Results
Poster
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Thu 11:00 |
Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering Anna Arutyunova · Jan Eube · Heiko Röglin · Melanie Schmidt · Sarah Sturm · Julian Wargalla |
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Poster
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Wed 16:30 |
Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park · Shahab Asoodeh · Si-Hyeon Lee |
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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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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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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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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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Fri 11:00 |
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu · Minghui Zhu |
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Poster
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Wed 11:00 |
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations Alex Hägele · Elie Bakouch · Atli Kosson · Loubna Ben allal · Leandro Von Werra · Martin Jaggi |
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Poster
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Thu 16:30 |
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model Mark Rowland · Kevin Li · Remi Munos · Clare Lyle · Yunhao Tang · Will Dabney |
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Poster
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Fri 16:30 |
Bayes-optimal learning of an extensive-width neural network from quadratically many samples Antoine Maillard · Emanuele Troiani · Simon Martin · Florent Krzakala · Lenka Zdeborová |