In this talk, I will briefly describe our research efforts on learning with less data and automated machine learning. Then, I will discuss in greater detail on one of such efforts: Bayesian optimization (BO), specifically, in how we have progressed from tackling some of the fundamental challenges/issues in BO to applying BO to more complex blackbox optimisation problems.

Lavanya Marla (University of Illinois at Urbana-Champaign) – Greedy Policies and Penalized Information-Relaxation Bounds for EMS: Allocation and Performance Assessment

In this talk we are providing some examples of industry application of Information Retrieval, including open domain IR, conversational and sentence classification.

Costas Courcoubetis (Chinese University of Hong Kong) – Topics in the Analysis and Optimization of Decentralized Systems

5G NR (New Radio) is one of the communication technologies that have and will continue to revolutionize the industry sector.

In the first half of the talk, students will get an understanding of what it is like to work in industry as an NLP expert. The second half will be a sharing on how fake news can be a threat to national security.

Rajan Udwani (University of California, Berkeley) – Submodular Order Functions and Assortment Optimization

This presentation reviews different representations and algorithms dedicated to the processing of symbolic musical data, enabling the highlighting of different aspects of musical language that appears within musical scores.