Peter Bartlett
~Peter_Bartlett1
13
论文总数
6.5
年均投稿
平均评分
接收情况11/13
会议分布
NeurIPS
6
ICLR
4
ICML
3
发表论文 (13 篇)
20257 篇
5
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
ICML 2025Poster
5
Improved Scaling Laws in Linear Regression via Data Reuse
NeurIPS 2025Poster
4
Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes
ICML 2025Poster
4
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
NeurIPS 2025Poster
4
FutureFill: Fast Generation from Convolutional Sequence Models
ICLR 2025Rejected
4
Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks
ICML 2025Poster
4
Provable Length Generalization in Sequence Prediction via Spectral Filtering
ICLR 2025Rejected
20246 篇
4
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
ICLR 2024Poster
4
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
NeurIPS 2024Poster
5
Scaling Laws in Linear Regression: Compute, Parameters, and Data
NeurIPS 2024Poster
4
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
NeurIPS 2024Poster
4
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
ICLR 2024Spotlight
3
Fast Best-of-N Decoding via Speculative Rejection
NeurIPS 2024Poster