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Optimistic Rates for Learning with a Smooth Loss
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Optimistic Rates for Learning with a Smooth Loss

Nathan Srebro
Karthik Sridharan
Ambuj Tewari
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Papers citing "Optimistic Rates for Learning with a Smooth Loss"

6 / 6 papers shown
Title
Do we really have to filter out random noise in pre-training data for language models?
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru
Yuxin Xie
Xianwei Zhuang
Yuguo Yin
Zhihui Guo
Zhiming Liu
Qianli Ren
Yuexian Zou
176
6
0
10 Feb 2025
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
95
22
0
16 Sep 2023
Coin Betting and Parameter-Free Online Learning
Coin Betting and Parameter-Free Online Learning
Francesco Orabona
D. Pál
162
165
0
12 Feb 2016
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
629
756
0
04 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
535
2,531
0
07 Jan 2008
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
286
283
0
14 Aug 2007

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