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Conferences and Workshops – GOFCP, MLF & EDS 2022 – Recap of events by Antonin Schrab

By sharon.betts, on 16 November 2022

In September 2022 I had the amazing opportunity to participate in workshops in Rennes and in Sophia Antipolis, and in a doctoral symposium in Alicante!

In poster sessions and talks, I have presented my work on Aggregated Kernel Tests which covers three of my papers. The first one is MMD Aggregated Two-Sample Test where the two-sample problem is considered, in which one has access to samples from two distributions and is interested in detecting whether those come from the same or from different distributions. The second is KSD Aggregated Goodness-of-fit Test in which we consider the goodness-of-fit problem where one is given some samples and is asked whether these come from a given model (with access to its density or score function). In the third one, Efficient Aggregated Kernel Tests using Incomplete U-statistics, we propose computationally efficient tests for the two-sample, goodness-of-fit, and independence problems; this last one consists in detecting dependence between the two components of paired samples. We tackle these three testing problems using kernel-based statistics, in such a setting the performance of these tests is known to heavily depend on the choice of kernels or kernel parameters (i.e. bandwidth parameter). We propose tests which aggregate over a collection of kernels and retain test power, we theoretically prove optimality of our tests under some regularity assumptions, and empirically show that our aggregated tests outperform other state-of-the-art kernel-based tests.

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I started the month of September by participating in GOFCP 2022, the 5th Workshop on Goodness-of-Fit, Change-Point and related problems, from 2nd to 4th September in ENSAI in Rennes (France). It was extremely interesting to hear about the latest research in this very specific research field which covers exactly the topics I had been working on since the start of my PhD.

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I then went to EURECOM in Sophia Antipolis (France) for MLF 2022, the ELISE Theory Workshop on Machine Learning Fundamentals, from 5th to 7th September. Talks and poster sessions covered the theory of kernel methods, hypothesis testing, partial differential equations, optimisation, Gaussian processes, explainability and AI safety.

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Finally, I participated in EDS 2022, the ELLIS Doctoral Symposium 2022, hosted by the ELLIS Alicante at the University of Alicante in Spain from 19th to 23rd September. It was an amazing experience to meet so many other PhD students working on diverse topics in Machine Learning. I especially enjoyed the numerous poster sessions which allowed to engage with other students and discuss their current research!

I am extremely grateful to Valentin PatileaMotonobu Kanagawa and Aditya Gulati for the respective invitations, and to my CDT (UCL CDT in Foundational AI with funding from UKRI) which allowed me to participate in those workshops/symposium!

CDT Students shine at poster showcase event

By sharon.betts, on 4 November 2022

Tuesday 1st November was a busy day at the CDT and UCL Centre for Artificial Intelligence with our joint UKRI CDT poster showcase and AI demo event. Together with the UKRI CDT in AI-Enabled Healthcare we put on an event featuring posters, demos, AI art and robots.

David Barber is at podium presenting his thoughts on the CDT to an audience in the Function Space at 90 High Holborn

Prof David Barber presenting the latest news on the CDT

The afternoon began with presentations by the CDT centre directors Prof David Barber and Prof Paul Taylor, as well as our industry sponsor Ulrich Paquet from Deepmind. In attendance were students, academics and industry partners, keen to understand what we have been doing and where our research will take us in the future.

a student demonstrates his work on a laptop and screen

PhD Candidate Jakob Zeitler provides a demo on screen

We had approximately 40 posters on display, with a further 19 demonstrations of AI by a variety of groups from Vision to Natural Language Processing. Engagement with the poster presenters was high across the board and a wonderful opportunity for our students to engage with others about the work that they have undertaken the last few years.

A student presents his poster to a crowd of interested listeners

PhD candidate Reuben Adams presents his poster to a crowd of attendees

We were honoured to have the Provost in attendance to witness just how vibrant and stimulating our centres are as part of a dynamic and successful Computer Science department.

Provost Dr Michael Spence stands in front of AI generated artwork with David Barber and crowd in attendance

Provost Dr Michael Spence unveils the Amedeo Modigliani painting

The UCL Centre of Artificial Intelligence have been donated a rare 3D generated AI generated painting of a Amedeo Modigliani, which started as a Masters and then PhD project for Dr. Anthony Bouchard and Dr. George Cann and will be displayed at the AI Centre for all to see.

The day ended with a robot display in the Function Space, showcasing the quadrapod robots that our students are working with both at the AI Centre and the soon to be opened UCL East.

Two quadrapod robots on display

Two quadrapod robots being demonstrated to the crowd

It was wonderful to witness all the different ways in which AI is being applied and developed to help solve some of societies greatest needs and to have the opportunity to share the work of our students with a wider audience.

With thanks to those who attended, our students, director David Barber, AI Centre manager Sarah Bentley and the TSG team for their time, patience and support in helping to make this a hugely successful event.

Conference on Learning Theory COLT 2022 by Antonin Schrab

By sharon.betts, on 14 October 2022

Professor Benjamin Guedj standing at podium at COLT 22

« COLT has been the prime annual meeting of the growing learning theory community for 35 years now, and that London edition has been beyond our expectations. We have been planning COLT 2022 since late 2019, and due to Covid it was unclear until a few weeks before the conference how many people would be able or willing to join. Our optimistic scenario was 150 on site attendees — we ended up at more than 270! COLT 2022 featured the higher number ever of papers (155) in a dual track format. I am especially proud that over 50% of attendees were MSc, PhD and postdocs: COLT has long been a welcoming and inclusive forum for early-career researchers. As local chair, COLT has eaten up a lot of my days and nights recently, but it certainly was worth it! » Benjamin GuedjInria and University College London, COLT 2022 Local Chair.

This July, I’ve had the great pleasure of participating in the Conference on Learning Theory COLT 2022 which has been held in person in London! I found the conference to be a real success, it was wonderful to finally be able to meet so many people sharing the same interests in learning theory! It was amazing to follow talks held in the historic Royal Institution of Great Britain which is the location of the famous televised Christmas Lectures!

The conference kicked off with a joint workshop between COLT and IMS (Institute of Mathematical Statistics) Annual Meeting with tutorials and talks by Emmanuel CandèsNati Srebro and Vladimir Vovk on the topics of conformal prediction and mathematics of deep learning. This workshop allowed to bring together both audience (IMS and COLT) with aligned interests on statistics and learning theory. This was a great initiative which was really appreciated by all the participants I talked to, I hope the joint workshop between IMS and COLT will remain in future editions of the conferences!

During the four following days, all papers accepted to COLT 2022 have been presented by the authors. Each talk was ten minutes long, this format allowed to get a good overview of each of the 155 papers. Topics included Online Learning, Statistics, Privacy, Robustness, Computational Complexity, Deep Learning, Generalization, Bandits, Sampling, Optimization, Graphs, Information Theory, Reinforcement Learning and Control. It was also very interesting to listen to longer talks such as those of the two papers which received the best paper and best student paper awards of COLT 2022 (Efficient Convex Optimization Requires Superlinear Memory by Annie Marsden, Vatsal Sharan, Aaron Sidford, and Gregory Valiant, and New Projection-Free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees by Ben Kretzu and Dan Garber), as well as those given by plenary speakers: Jelani Nelson from Berkeley, University of CaliforniaMaryam Fazel from University of Washington, and Alon Orlitsky from University of California San Diego.

I also really enjoyed the open problem sessions in which unsolved problems were presented in the hope that these can be solved in future editions of COLT, it was great to see which learning theory problems people currently find challenging! Other events were also organised such as the LeT-All career panel providing advice to early researchers, the Women in Machine Learning Theory luncheon discussing everyday challenges women are facing in academic and industrial Machine Learning research, the business meeting with COLT announcements about future editions of the conference, the workshop reception and the conference gala dinner which were the perfect opportunity to engage with other participants!

COLT 2022 was made possible thanks to the hard-working organizing committee: program chair Po-Ling Loh from University of Cambridge, program chair Maxim Raginsky from University of Illinois at Urbana-Champaign, local chair Benjamin Guedj from Inria and University College London, local chair Ciara Pike-Burke from Imperial College London, open problems chair Clément Canonne from University of Sydney, online experience chair Claire Vernade from DeepMind, and publication chair Suriya Gunasekar from Microsoft Research. Thank you all for making COLT 2022 possible and such a success!

I am now looking forward to COLT 2023!

Blog: DeepMind/ELLIS CSML Seminar Series 2021/2022 by Antonin Schrab

By sharon.betts, on 3 October 2022

 

I have been delighted to be in charge of organising the DeepMind/ELLIS CSML Seminar Series 2021/2022 for the second year in a row. The aim of this seminar series is to foster collaboration across different UCL departments of the UCL ELLIS Unit (previously Computational Statistics and Machine Learning, CSML) which include the Gatsby Computational Neuroscience Unit, the Centre for Artificial Intelligence, the Department of Computer Science, the Department of Statistical Science, and the Department of Electronic and Electrical Engineering. Talks topics cover some of the latest research in Machine Learning and Statistics. All information about the seminar series can be found online, recordings are available on YouTube, talks are advertised on Twitter, on a mailing list and on a calendar.

Due to the sanitary situation, we have held our seminars online for the first half of the academic year, this allowed to host international speakers from across the globe. For the second half of the academic year, we were able to resume in-person seminars and to host speakers at UCL. We are immensely grateful to DeepMind for sponsoring our seminar series, allowing us to also host speakers from outside of London. I’d also like to thank all the speakers for presenting their latest work at our seminar series during this 2021/2022 academic year, all talks are presented below. Finally, I’d like to thank Jean KaddourOscar KeyPierre Glaser and Azhir Mahmood for their help in hosting the seminars, and I am very excited to welcome Kai Teh from the UCL Department of Statistical Science and Mathieu Alain from the UCL Centre for Artificial Intelligence who will join me in co-organising the seminar series for the 2022/2023 academic year!

New Year – New content up! WeThe15 in AI recap

By Sharon C Betts, on 11 January 2022

Happy New Year to one and all from all of us at the UKRI CDT in Foundational AI.

Poster for event We The 15 in AI

 

With each new year comes new hopes for the future and chance to reflect on the events of the past. The UCL Centre for Artificial Intelligence has hosted a number of events this past year focusing on equality, diversity and inclusion.  We began 2021 with LGBTQ+ in AI, followed by Women in AI, Black in AI and culminating with Disabled in Ai, a day before National Disability Awareness Day in November.

Due to covid and closures, it has taken a little longer than I had hoped to finalise the videos for our last event, which was titled WeThe15 in AI, and done in collaboration with The Global Disability Innovation Hub.

Having had the opportunity to held organise a couple of these important events I have valued the privilege of learning new ideas, hearing personal journeys and gaining insights into how AI and our academic world can support those in under-represented communities.

One of the first things I noticed when organising the WeThe15 in AI event was just how wide a subject matter disability is. Whilst most people would assume that a disability is always physical, or noticeable, there are so many more individuals who are part of the disabled community who have hidden disabilities, but whose voices are of equal value and importance.

Another thing I noticed is just how many voices wanted to be heard. Usually when organising an event, we schedule in break times between sessions to help pad out and structure the day, however with this event I found myself having to do some creative timetabling and forsake breaks in order to get people included.  (Lesson for next time is to make this an all-day event and not just an afternoon affair).

Mobility Map by City Maas

Our event was pretty evenly divided between two areas of research – Neurodiversity and Research Innovation as well as presentations from individuals within the disabled community and how they navigate the world using AI and tech innovation.

Our first presenters were Prof Marie Schaer and Dr Thomas Maillart from the University of Geneva, presenting their current research on using AI image processing technology to support early diagnosis of autism in young children. Their research has shown that there is a short period in a child’s life where their learning gap develops due to late-diagnosis of autism (a neuro-diverse way of processing the world around us from sight, sound, sense and comprehension) and by providing an early diagnosis, intervention steps can be put in place to support the learning journey, ensuring that children stay on the same learning flight path and navigate the world of learning better.

Our second presenter was a young PhD candidate called Will Dudley, who is studying at our sister CDT at Imperial College London and is a member of the disabled community. Will discussed his journey to research via his lived experiences as someone who has to navigate the world with challenges not faced by most. His insights into how he has had to adapt to learn and find tools that support his needs shines a light on the topic of inclusion and design for disabled students and researchers.

Our third presenter was Luis Canto E Castro, from City Maas, an organisation that used AI technology to help wheelchair users navigate city landscapes. Luis, who is originally from South Africa, told us of his personal experiences as a wheelchair user moving to London and finding tools to help him know where he could, and could not, access. He started with a story about being invited to interview for a role and ending up having a quick 5 minute conversation on the pavement outside the building because there was no accessibility for him to be able to enter and be formally interviewed. Accessibility and inclusion in both design and implementation were again prominent themes in Luis’ talk.

Our first panel of the afternoon focused on Autism and AI and was chaired by Alice Renard, a UCL student who set up the UCL Autistic Society and who is neurodiverse. The panel included Thomas Maillart from our first presentation, Susie Chen, an autism advocate and fellow member of UCL Autistic Society, Luke Muschialli, whose has a close family member with autism, Dr Joe Mintz from the Institute of Education at UCL, whose current work is looking at ways that AI can help autistic children learn in schools and Dr Larissa Romualdo Suzuki, who is Head of Data and AI at Google Cloud and an autism advocate.

The panel discussed a variety of matters surrounding autism, including acceptance, the need for AI tech to support those on the spectrum and personal journeys of navigating the world of research and employment with ASD.

Our key note speaker for the event was Professor Cathy Holloway from the Global Disability Innovation Hub, who discussed Ai assisted innovative technology and how her work helps individuals within the disabled community, the majority of whom live in poverty and need access to assistive technology in order to survive and thrive.

Our second panel discussed AI and disability innovation and featured a variety of experts in their field. Chaired by Daniel Hajas from the Disability Innovation Hub, our panellists included Mr Klaus Höckner, CEO, Austrian Association for Blind and Visually Impaired, Mr Bernard Chiira, Director at Innovate Now, Co-Founder Inclusive Education Network, Ms Pamela Molina-Toledo, Executive Director, World Federation of the Deaf (WFD), Mr Saqib Shaikh, Tech Lead at Microsoft AI & Research, Dr Yulia Sarviro, Senior Project Manager, Smart Cities for All, at G3ict  and Ms Susan Scott-Parker OBE, Chief Executive, Business Disability

Again, what became really clear from the conversations that were had was just how vital it is to include disabled people at the very start of conversations and conception of ideas in order for technology to be truly assistive to their needs and not just design for design’s sake.

Our final presentation was by Professor Aldo Faisal from Imperial College London, who discussed AI for disabilities: from assistive technology to human augmentation.  Prof Faisal is part of the UKRI CDT in AI for Healthcare and presented work on the research that he and his team undertake to ensure that the robotics Ai work they create suits the needs of the disabled community they serve.

The entire afternoon was an incredibly humbling experience.  We felt truly honoured to have so many important voices speak and tell us of their journey and their research. Our EDI events were created to ensure under-represented communities were able to have a platform on which they could share their ideas and truths. To be able to have the opportunity to be a witness to this and to better understand the need for inclusion, from conception to inception of research, felt like a privilege.  Too often it seems that the disabled community has been the recipient of innovative ideas as a secondary outcome of work created by and for the abled community. Understanding their needs and creating technology by and for the disabled community, whose secondary outcome may or may not be useful for the abled community would be a more inclusive world. Knowing that so many great minds are working towards this outcome is a comforting thought. Together, we can build a better future.

If you are interested in watching this event, please do check out our WeThe15 in Ai playlist on our You Tube channel.