OATML_Oxford

@OATML_Oxford

Oxford Applied and Theoretical Machine Learning Group

Vrijeme pridruživanja: kolovoz 2018.

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  1. 21. sij

    Excited to have to come give a talk about Robust Deep Learning Under Distribution Shift on Wednesday January 22nd at 2pm in LT-A. If you are in Oxford, come check it out!

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  2. 21. sij

    Excited to have to come give a talk about Reward-rational (implicit) choice: A unifying formalism for reward learning on Wednesday January 22nd at 10am in LT-B. If you are in Oxford, come check it out!

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    20. pro 2019.

    Congratulations to Robin Ru, , and for their ICLR accepted papers: [1/4]

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    13. pro 2019.

    I will be giving a Contributed Talk at the Bayesian Deep Learning workshop at at 8:25am today. Stop by if you're interested in function-space perspectives on DNN training dynamics! Paper:

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    8. pro 2019.

    We are glad to share 23 papers by OATML authors and collaborators to be presented at this NeurIPS conference and workshops

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    26. stu 2019.

    🎉 New blog post on a better (visual!) intuition for information theoretic quantities (eg entropy and mutual information) 🎉 🔥 Lots of visualisations 🔥 👉 Based on Yeung's "A new outlook on Shannon's information measures" from 1991 📖

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    5. stu 2019.

    Our new paper "A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments" introduces a new approach for designing Bayesian-Optimal experiments in far higher dimensions than previously possible. Check it out here:

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  8. 9. ruj 2019.

    Also, congratulations to 6 members honoured as top reviewers at : 2 among top 400 highest scoring reviewers and awarded free registration ( and ), and 4 among top 50% reviewers (, , , and )

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  9. 9. ruj 2019.
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  10. 9. ruj 2019.
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  11. 9. ruj 2019.
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  12. 9. ruj 2019.
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  13. 9. ruj 2019.
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  14. 9. ruj 2019.

    5 papers with members accepted to :

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    8. ruj 2019.

    Welcome to who has joined as a part-time senior postdoc!

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    Congratulations to , , , and for getting their paper "VIREL: A Variational Inference Framework for Reinforcement Learning" accepted to and receiving a spotlight talk!

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    6. ruj 2019.

    "VIREL: A Variational Inference Framework for Reinforcement Learning" - , , , which also received a spotlight :) Camera ready version out soon!

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    7. ruj 2019.

    Consider submitting your work to our workshop on "Emergent Communication: Towards Natural Language"! The deadline is on **Sunday September 15th**. Authors of accepted papers will get access to a pool of specially reserved tickets! 🤖📡🌊🎰

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    7. ruj 2019.

    Since PhD application season is coming up soon just want to plug ! If you want to apply but are feeling uncertain or just want to chat with a present student hit me up! ☺️

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    31. kol 2019.

    All the slides from my Bayesian Deep Learning tutorial at MLSS 2019 Moscow, including a practical in Active Learning with jupyter notebooks (practical credit: Ivan Nazarov), are now online

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