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[post_content] => The Centre for Data, Learning and Decision Sciences (CDLDS) at Ashoka University is delighted to announce exSPLOre 2025, a five-day workshop from January 14-18, 2025, exploring the evolving and exciting areas of quantitative research underpinning the developments in data science, machine learning and artificial intelligence. The workshop begins with two days of basic tutorials for graduates and advanced undergraduates, offering 3-hour sessions each on the basics of probability, learning, and optimization, led by leading experts. The following three days will comprise a research workshop, with talks by leaders in the field. The program includes a poster session for PhD students.
Speakers Include
| Siddhartha Banerjee (Cornell University)
Siddharth Barman (IISc)
Achal Bassamboo (Northwestern University)
Sanjay Bhatt (Tata Consultancy Services)
Vivek Borkar (IIT Bombay)
Rama Cont (University of Oxford)
Manish Gupta (Google DeepMind)
Peter Glynn (Stanford University)
Varun Gupta (Northwestern University)
Srikanth Iyer (IISc)
Garud Iyengar (Columbia University)
Ruta Mehta, University of Illinois at Urbana-Champaign
Jayakrishnan Nair (IIT Bombay) |
Dheeraj Nagaraj (Google DeepMind)
Praneeth Netrapalli (Google DeepMind)
Balaji Prabhakar (Stanford University)
Alexandre Proutiere (KTH Royal Institute of Technology)
Ankur Puri (McKinsey)
Ketan Rajawat (IIT Kanpur)
Sunita Sarawagi (IIT Bombay)
Devavrat Shah (Massachusetts Institute of Technology)
Ronnie Sircar (Princeton University)
Rohit Vaish (IIT Delhi)
Rahul Vaze (TIFR)
Vijay Vazirani (University of California, Irvine) |
To participate
Graduates, advanced undergraduates, post-docs and faculty interested in related areas are encouraged to apply. Limited accommodation is available for outstation participants.
Click here: https://forms.gle/ouLnFej6qMhCSxnY7
Last date for registration: December 01, 2024 Preference will be given to PhD students working in related areas and advanced undergraduate students from Ashoka University who have demonstrated a strong quantitative aptitude, due to our limited accommodation and seating capacity.
Venue
Taxila Hall, AC-02-LR-007 Ashoka University
Organising committee Vivek Borkar (IIT Bombay), Sandeep Juneja (Ashoka University), Praneeth Netrapalli (Google DeepMind), Sumegh P (Ashoka University), KS Mallikarjuna Rao (IIT Bombay)
[post_title] => Explorations in Statistics, Probability, Learning and Optimization Research
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Speakers Include
| Siddhartha Banerjee (Cornell University)
Siddharth Barman (IISc)
Achal Bassamboo (Northwestern University)
Sanjay Bhatt (Tata Consultancy Services)
Vivek Borkar (IIT Bombay)
Rama Cont (University of Oxford)
Manish Gupta (Google DeepMind)
Peter Glynn (Stanford University)
Varun Gupta (Northwestern University)
Srikanth Iyer (IISc)
Garud Iyengar (Columbia University)
Ruta Mehta, University of Illinois at Urbana-Champaign
Jayakrishnan Nair (IIT Bombay) |
Dheeraj Nagaraj (Google DeepMind)
Praneeth Netrapalli (Google DeepMind)
Balaji Prabhakar (Stanford University)
Alexandre Proutiere (KTH Royal Institute of Technology)
Ankur Puri (McKinsey)
Ketan Rajawat (IIT Kanpur)
Sunita Sarawagi (IIT Bombay)
Devavrat Shah (Massachusetts Institute of Technology)
Ronnie Sircar (Princeton University)
Rohit Vaish (IIT Delhi)
Rahul Vaze (TIFR)
Vijay Vazirani (University of California, Irvine) |
To participate
Graduates, advanced undergraduates, post-docs and faculty interested in related areas are encouraged to apply. Limited accommodation is available for outstation participants.
Click here: https://forms.gle/ouLnFej6qMhCSxnY7
Last date for registration: December 01, 2024 Preference will be given to PhD students working in related areas and advanced undergraduate students from Ashoka University who have demonstrated a strong quantitative aptitude, due to our limited accommodation and seating capacity.
Venue
Taxila Hall, AC-02-LR-007 Ashoka University
Organising committee Vivek Borkar (IIT Bombay), Sandeep Juneja (Ashoka University), Praneeth Netrapalli (Google DeepMind), Sumegh P (Ashoka University), KS Mallikarjuna Rao (IIT Bombay)
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 (676 x 389 px).png)
