Title: Commodifying Data Exploration

Time: 10:30am 

Venue: CB308, Chow Yei Ching Building, HKU

Speaker(s): Professor Sihem Amer-Yahia (CNRS, Univ. Grenoble Alpes, France)

Remark(s): 

Face-to-face only

Abstract:
Exploratory Data Analysis (EDA) is an iterative and tedious process. Several strategies have been proposed to ease the burden on users in EDA ranging from stepwise to full-guidance approaches. Stepwise approaches rely on computing utility functions that determine the best action to take at each step. Full-guidance approaches rely on learning end-to-end exploration policies. Today’s big question is how to commodify EDA and make it easily deployable for all but for that we need to know what users are looking for: are they looking for a needle in a haystack, taking a tour of the data, or are they feeling lucky? This talk will investigate those questions and discuss the challenges of storing learned pathways through data or regenerating them when needed.

Biography:
Sihem Amer-Yahia is a Silver Medal CNRS Research Director and Deputy Director of the Lab of Informatics of Grenoble. She works on exploratory data analysis and fairness in job marketplaces. Before joining CNRS, she was Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at at&t Labs. Sihem is PC chair for SIGMOD 2023 and vice president of the VLDB Endowment. She currently leads the Diversity, Equity and Inclusion initiative for the database community.

All are welcome!

Title: HKU FinTech MOOC - FinTech Technologies

Time:  

Venue: online via edX

Speaker(s): Various

Remark(s): 

4-week online course, 1 to 2 hours per week

Title: IDS Distinguished Speaker Series - On the Principles of Parsimony and Self-Consistency: Structured Compressive Closed-Loop Transcription

Time: 03:00pm 

Venue: Hybrid - Tam Wing Fan Inno Wing Two, HKU & Zoom (Registration is required)

Speaker(s): Prof Yi Ma, ElecEngg & CompSc, UC Berkeley / Moderator: Prof TW Lam, Dept of CS, HKU

Remark(s): 

Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.

Title: CS Seminar - Modality agnostic neural data compression with Implicit Neural Representations

Time: 02:00pm 

Venue: Rm 308, Chow Yei Ching Building, HKU

Speaker(s): Jonathan Richard Schwarz, Senior Research Scientist, DeepMind

Remark(s): 

Title: HKU Computer Science Distinguished Lecture - The Data Landscape: Trends and Directions

Time: 04:00pm 

Venue: Hybrid mode - Tam Wing Fan Inno Wing Two, G/F, Run Run Shaw Building, HKU & via Zoom (Registration is required)

Speaker(s): Dr. C. Mohan, Distinguished Visiting Professor at Tsinghua University, Visiting Researcher at Google, USA

Remark(s): 

Title: [HKU-IDS Scholar Seminar] Huge Language Models: Why They Matter, How They Work, And When They Fail

Time: 04:00pm 

Venue: Lecture Theatre C, Chow Yei Ching Bldg, HKU

Speaker(s): Dr Tao YU, Dept of Computer Science, HKU

Remark(s): 

Title: HINCare: Using Heterogenous Information Networks for Intelligent Volunteering

Time: 04:00pm 

Venue: Via Zoom (Registration is required)

Speaker(s): Professor Reynold Cheng, Dept of Computer Science, HKU

Remark(s): 

Title: [Tech Talk] Causes and Effects in the Microscopic World

Time: 04:30pm 

Venue: Tam Wing Fan Innovation Wing Two, G/F, Run Run Shaw Building, HKU

Speaker(s): Professor Giulio Chiribella, Dept of Computer Science

Remark(s): 

Title: Some Reflections on Drawing Causal Inference with Texts

Time: 03:30pm 

Venue: Room 308, Chow Yei Ching Bldg, The University of Hong Kong

Speaker(s): Jiayao Zhang, Ph.D. candidate, University of Pennsylvania

Remark(s): 

Title: IFTA FinTech Awards 2021/2022 Campus Sharing Tour(HKU)

Time: 04:30pm 

Venue: Lecture Theatre A, Chow Yei Ching Building, HKU

Speaker(s): Awardees of IFTA FinTech and Innovcation Awards 2021/2022

Remark(s):