28 citations · 111 across the 25 of their papers we have counts for
4 papers · 1 filter
Evaluating Step-by-Step Reasoning through Symbolic Verification
Yi-Fan Zhang, Hanlin Zhang, Li Erran Li +1
Pre-trained language models (LMs) have shown remarkable reasoning performance using explanations or chain-of-thoughts (CoT)) for in-context learning. On the other hand, these reaso…
A Closer Look at the Calibration of Differentially Private Learners
Hanlin Zhang, Xuechen Li, Prithviraj Sen +2
We systematically study the calibration of classifiers trained with differentially private stochastic gradient descent (DP-SGD) and observe miscalibration across a wide range of vi…
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton +2
Previous works on Treatment Effect Estimation (TEE) are not in widespread use because they are predominantly theoretical, where strong parametric assumptions are made but untractab…
Stochastic Neural Networks with Infinite Width are Deterministic
Liu Ziyin, Hanlin Zhang, Xiangming Meng +3
This work theoretically studies stochastic neural networks, a main type of neural network in use. We prove that as the width of an optimized stochastic neural network tends to infi…