13 citations · 15 across the 4 of their papers we have counts for
4 papers
Moccasin: Efficient Tensor Rematerialization for Neural Networks
Burak Bartan, Haoming Li, Harris Teague +2
The deployment and training of neural networks on edge computing devices pose many challenges. The low memory nature of edge devices is often one of the biggest limiting factors en…
Classification with Strategically Withheld Data
Anilesh K. Krishnaswamy, Haoming Li, David Rein +2
Machine learning techniques can be useful in applications such as credit approval and college admission. However, to be classified more favorably in such contexts, an agent may dec…
Minimizing Time-to-Rank: A Learning and Recommendation Approach
Haoming Li, Sujoy Sikdar, Rohit Vaish +3
Consider the following problem faced by an online voting platform: A user is provided with a list of alternatives, and is asked to rank them in order of preference using only drag-…
A Cost-Effective Framework for Preference Elicitation and Aggregation
Zhibing Zhao, Haoming Li, Junming Wang +4
We propose a cost-effective framework for preference elicitation and aggregation under the Plackett-Luce model with features. Given a budget, our framework iteratively computes the…