Office: Ford Hall 256
- TBD for Fall 2019
- Always by appointment - email me!
Courses (Fall 2019)
The core of my research is in promoting access to information through classification, categorization, retrieval with a focus on digital library data. As a result, I am always pursuing the balance between efficient, explainable, and effective machine learning systems.
Poetry: Identification, Entity Recognition, and Retrieval
ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents(URL)
Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments(Code)
Exploring Summary-Expanded Entity Embeddings for Entity Retrieval(URL)
Mocking Atari for Deep Reinforcement Learning(URL)
Search Agent Model: A Conceptual Framework for Search by Algorithms and Agent Systems(CIIR)
Explainable Agreement through Simulation for Tasks with Subjective Labels(CIIR)
Term Relevance Feedback for Contextual Named Entity Retrieval(ACMDL)
On the Equivalence of Generative and Discriminative Formulations of the Sequential Dependence Model(ACMDL)
Probabilistic Approaches to Controversy Detection(CIIR)
Improving Entity Ranking for Keyword Queries(ACMDL)
Retrieving Hierarchical Syllabus Items for Exam Question Analysis(CIIR)
Toward Reproducible Baselines: The Open-Source Information Retrieval Reproducibility Challenge(Code)
Short Text Queries for Video Retrieval(CIIR)
Looking for a dataset?