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20232025
most citedData-Centric Financial Large Language Models

5 citations · 5 across the 7 of their papers we have counts for

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cs.LG2025

HALO: Hindsight-Augmented Learning for Online Auto-Bidding

Pusen Dong, Chenglong Cao, Xinyu Zhou +4

Digital advertising platforms operate millisecond-level auctions through Real-Time Bidding (RTB) systems, where advertisers compete for ad impressions through algorithmic bids. Thi…

cs.LG2025

Private Model Personalization Revisited

Conor Snedeker, Xinyu Zhou, Raef Bassily

We study model personalization under user-level differential privacy (DP) in the shared representation framework. In this problem, there are users whose data is statistically h…

cs.LG2025

NeuralGrok: Accelerate Grokking by Neural Gradient Transformation

Xinyu Zhou, Simin Fan, Martin Jaggi +1

Grokking is proposed and widely studied as an intricate phenomenon in which generalization is achieved after a long-lasting period of overfitting. In this work, we propose NeuralGr…

cs.LG2024

HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation

Xinyu Zhou, Simin Fan, Martin Jaggi

Influence functions provide a principled method to assess the contribution of individual training samples to a specific target. Yet, their high computational costs limit their appl…

cs.LG2024

LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters

Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau +1

A good initialization of deep learning models is essential since it can help them converge better and faster. However, pretraining large models is unaffordable for many researchers…