4 citations · 6 across the 7 of their papers we have counts for
7 papers
Rank-Preference Consistency as the Appropriate Metric for Recommender Systems
Tung Nguyen, Jeffrey Uhlmann
In this paper we argue that conventional unitary-invariant measures of recommender system (RS) performance based on measuring differences between predicted ratings and actual user…
ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Tung Nguyen, Sudhanshu Agrawal, Aditya Grover
Experimental design is a fundamental problem in many science and engineering fields. In this problem, sample efficiency is crucial due to the time, money, and safety costs of real-…
Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems
Tung Nguyen, Jeffrey Uhlmann
In this paper we discuss pre- and post-processing methods to induce desired consistency and/or invariance properties in blackbox systems, e.g., AI-based. We demonstrate our approac…
On a problem of El-Zahar and Erdoos
Tung Nguyen, Alex Scott, Paul Seymour
Two subgraphs of a graph are anticomplete if they are vertex-disjoint and there are no edges joining them. Is it true that if is a graph with bounded clique number, a…
Utilization of domain knowledge to improve POMDP belief estimation
Tung Nguyen, Johane Takeuchi
The partially observable Markov decision process (POMDP) framework is a common approach for decision making under uncertainty. Recently, multiple studies have shown that by integra…
Induced paths in graphs without anticomplete cycles
Tung Nguyen, Alex Scott, Paul Seymour
Let us say a graph is -free, where is an integer, if there do not exist cycles of the graph that are pairwise vertex-disjoint and have no edges joining t…