Fwd: [IKDD News] Call for Participation: The 14th Asian Conference on Machine Learning (12-14 Dec, 2022)

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S.D Madhu Kumar

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Nov 18, 2022, 2:00:41 AM11/18/22
to phdcsed, fac_csed, CSE Association NITC
Dear All
Please see the email below and please attend the conference if you are interested.
Regards


---------- Forwarded message ---------
From: Srijith P.K. <sri...@cse.iith.ac.in>
Date: Fri, 18 Nov 2022 at 11:11
Subject: Fwd: [IKDD News] Call for Participation: The 14th Asian Conference on Machine Learning (12-14 Dec, 2022)
To: S.D Madhu Kumar <ma...@nitc.ac.in>


Dear sir

I kindly request you to  spread information about ACML in your institute.

regards,
Srijith


------------------------------------------------------------------------------
ACML 2022
The 14th Asian Conference on Machine Learning
Hyderabad, India
December 12-14, 2022
https://www.acml-conf.org/2022/
------------------------------------------------------------------------------

We invite you to attend the 14th Asian Conference on Machine Learning.  ACML 2022 aims to provide a leading international forum for Machine Learning researchers to share their new ideas and progress.  The conference will be conducted in a hybrid mode. Physical events would be hosted in Hyderabad, India. Please note that the early bird registration deadline is Nov 22. 

Highlights of the conference

INVITED SPEAKERS
  • Manik Varma, Partner Researcher, Microsoft Research India and Adjunct Professor, Indian Institute of Technology Delhi
  • Kamalika Chaudhuri, Research Scientist, Meta AI & Professor, University of California San Diego
  • Taiji Suzuki, Associate Professor, The University of Tokyo
  • Andreas Krause, Professor of Computer Science, ETH Zurich
Visit here for more details on the invited talks

WORKSHOPS
TUTORIALS
  1. Deep Generative Models for Sequential Decision Making; Aditya Grover, Assistant Professor of CS at UCLA.
  2. Cooperative multi-agent learning: a review of progress and challenges; Yali Du, King’s college London and Joel Leibo, Deepmind
  3. AI4code; Srikanth G Tamilselvam and Dinesh Garg, IBM Research India.
  4. Optimization and learning with Markovian data; Praneeth Netrapalli and Dheeraj M Nagaraj, Google Research India
ACCEPTED PAPERS
View the list of accepted papers in the conference here.

REGISTRATION
ACML is open for registrations for both in-person and virtual attendance here.

CONFERENCE VENUE

SPONSORS
  • Google
  • Microsoft Research
  • KLA
  • TREDENCE
  • IBM Research
  • Friendship 2.0
  • OPPO
  • Qualcomm



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--
Dr. Srijith P.K.
Associate Professor
Computer Science and Engineering
Indian Institute of Technology Hyderabad



--
Dr. Srijith P.K.
Associate Professor
Computer Science and Engineering
Indian Institute of Technology Hyderabad


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