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Prikvačeni tweet
#EnergyBasedModels rely on approximate sampling algorithms, leading to a mismatch between the model and inference. Instead, we consider the sampler-induced distribution as the model of interest yielding a class of tractable#EnergyInspiredModels. (https://arxiv.org/abs/1910.14265 )pic.twitter.com/kIosFFOCcQ
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George Tucker proslijedio/la je Tweet
I'm delighted to announce that I have just started a new role as the Florence Nightingale Bicentennial Fellow and Tutor in Statistics and Probability at the Department of Statistics here in Oxford. I'm looking forward to growing my research group here over the next 5 years.
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George Tucker proslijedio/la je Tweet
I'll be discussing this work and other challenges in meta-learning at the
@NeurIPSConf Bayesian Deep Learning Workshop at 1:20 pm, West Exhibition Hall C. http://bayesiandeeplearning.org/ https://twitter.com/chelseabfinn/status/1204284213739933697 …
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George Tucker proslijedio/la je Tweet
Looking forward for workshops tomorrow - my favorite part of
#NeurIPS.@its_dibya and I will speak about the MEMENTO observation in Atari agents tomorrow at 4:15 in the BARL workshop. Come see us at the poster!@jdmartin86,@marcgbellemare, yoshuawonttweet,@hugo_larochellepic.twitter.com/zQr639S2Ou
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George Tucker proslijedio/la je Tweet
Come learn about how to effectively learn policies from entirely off-policy data with Bootstrap Error Accumulation Reduction (BEAR), presented tomorrow (Wed) at
#NeurIPS2019 by Aviral Kumar, at 5:30 pm, poster #214pic.twitter.com/fGpvmlXWOC
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We're presenting our work on
#EnergyInspiredModels (EIM) which leverage a learned energy function. Unlike#EnergyBasedModels, EIMs are tractable to sample from and train via a lower bound on log-likelihood.#NeurIPS2019 10:45am Wed #120 (https://arxiv.org/abs/1910.14265 )pic.twitter.com/btiokla7vC
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George Tucker proslijedio/la je Tweet
Our tutorial on importance sampling and sequential Monte Carlo methods is now published in Foundations and Trends in ML. Should be available at NeurIPS. Highlights include learning proposals, target distributions, unbiasedness results and more. https://www.nowpublishers.com/article/Details/MAL-074 …pic.twitter.com/9ZJI1YBCUz
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George Tucker proslijedio/la je Tweet
Meta-learning has a peculiar, widespread problem that leads to terrible performance when faced with seemingly benign changes to the training set-up. We analyze this problem & provide a solution: https://arxiv.org/abs/1912.03820 w/
@Mingzhangyin,@georgejtucker, Zhou,@svlevinepic.twitter.com/yIIy9fEzqv
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George Tucker proslijedio/la je Tweet
(1) Don't Blame the Elbo! A Linear VAE Perspective on Posterior Collapse. Wednesday morning, East Hall B+C (#123) We investigate posterior collapse through theoretical analysis of linear VAEs and empirical evaluation of nonlinear VAEs.
@georgejtucker@RogerGrosse@Mo_Norouzipic.twitter.com/bVkLCMuKmH
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George Tucker proslijedio/la je Tweet
Can we use deep RL to learn from data, rather than from online interaction? Aviral Kumar discusses challenges and recent work in this area, including our algorithm BEAR for fully-off policy RL:https://bair.berkeley.edu/blog/2019/12/05/bear/ …
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George Tucker proslijedio/la je Tweet
Very excited about my new paper! https://arxiv.org/abs/1912.02074 We formulate the on-policy max-return RL objective w.r.t *arbitrary* offline data and without *any* explicit importance correction. Amazingly, the gradient of the objective w.r.t pi is exactly the on-policy policy gradient!pic.twitter.com/R3g7tOjxNJ
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The accepted papers here are a goldmine! Very excited about this workshop.https://twitter.com/daibond_alpha/status/1202468616173522944 …
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George Tucker proslijedio/la je Tweet
https://arxiv.org/abs/1911.11361 Offline RL -what do you need to know about this notoriously difficult regime? Although recent papers propose a variety of algorithmic novelties, we find many of these unnecessary in practice. Extensive studies will hopefully guide future research &practicepic.twitter.com/RKMIKdeP9l
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George Tucker proslijedio/la je Tweet
We are happy to announce the v2.0 release of the Google Research Football Environment. The most exciting feature of this release is the Game Server, which lets your agent compete online with other researchers' models. Visit https://research-football.dev and give it a try!https://twitter.com/GoogleAI/status/1137058715129925632 …
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George Tucker proslijedio/la je Tweet
I'm starting a professorship in the CS department at UNC in fall 2020 (!!) and am hiring students! If you're interested in doing a PhD
@unccs please get in touch. More info here: https://cs.unc.edu/admissions/graduate/graduate-programs/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
George Tucker proslijedio/la je Tweet
Applications for the 2020 Google AI Residency program are now open! Visit https://g.co/airesidency/apply … for application information. To learn more about the research accomplishments of the 2019 alumni, check out the post below!https://goo.gle/2WSMkda
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George Tucker proslijedio/la je Tweet
We are hiring in our approx-Bayes team at RIKEN-AIP. Post-docs (2 positions), RA (4 positions), interns (15 positions). Job posting: https://tinyurl.com/y2zummmy Team page: https://tinyurl.com/y2pa43y8 Email: jobs-abi-riken-aip@googlegroups.com Help me spread the word. Retweets appreciated
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George Tucker proslijedio/la je Tweet
The review period for #ICLR2020 is slowly wrapping up, and our reviewers have been working hard on their assessments. If you are reviewing , please help us get all our reviews in on time and submitted by next Wednesday
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George Tucker proslijedio/la je Tweet
We're extremely excited to release our BoTorch paper! Scalable, flexible, and modular Bayesian optimization integrated with GPyTorch and
@PyTorch. It's been a pleasure working with@eytan, Max, and team. paper: https://arxiv.org/abs/1910.06403 code: https://github.com/pytorch/botorch pic.twitter.com/jc18vkEQ12
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George Tucker proslijedio/la je Tweet
Machine learning now has an over-agitated culture that IMHO is bad for researcher wellbeing. You're not a loser if hype, firehose arXiv, FOMO, feuds, overwork & random reviews cause you unhealthily-sustained stress, anxiety & gloom. We didn't & don't have to have this culture.
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