Top Tweets for #Adaptively
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial ...
Huan-ang Gao, Jiayi Geng, Wenyue Hua et al..
Action editor: Yutian Chen.
https://t.co/mWHDV6VPWY
#adaptively #evolving #adaptive
Meta-Learning Adaptive Loss Functions
Christian Raymond, Qi Chen, Bing XUE, Mengjie Zhang.
Action editor: Ikko Yamane.
https://t.co/clqXM3w3uN
#loss #adaptively #learned
Online learning of quantum processes
https://t.co/SRSDYtpQtD
Among recent insights into #learning quantum states, online learning and #shadowtomography procedures are notable for their ability to accurately predict expectation values even of #adaptively chosen observables. In contrast to the state case, quantum process learning tasks with a similarly adaptive nature have received little attention.
In this work, we investigate #onlinelearning tasks for quantum processes. Whereas online learning is infeasible for general #quantumchannels, we show that channels of bounded #gatecomplexity as well as Pauli channels can be online learned in the regret and mistake-bounded models of online learning. In fact, we can online learn probabilistic mixtures of any exponentially large set of known channels.
We also provide a provably sample-efficient shadow tomography procedure for #Paulichannels. Our results extend beyond quantum channels to #nonMarkovian multi-time processes, with favorable regret and mistake bounds, as well as a shadow tomography procedure. We complement our online learning upper bounds with mistake as well as computational lower bounds.
On the technical side, we make use of the #multiplicativeweights update algorithm, classical adaptive data analysis, and #Bellsampling, as well as tools from the theory of #quantumcombs for multi-time quantum processes. Our work initiates a study of online learning for classes of quantum channels and, more generally, non-Markovian quantum processes. Given the importance of online learning for state shadow tomography, this may serve as a step towards quantum channel variants of adaptive shadow tomography.
Learning-to-defer for sequential medical decision-making under uncertainty
Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez.
Action editor: Jessica Schrouff.
https://t.co/Yn8FCc26gd
#adaptively #deferral #reinforcement
Happy Lunar New Year, Everyone!
Did you know that the Year of the Tiger 2022 starts on February 1st, 2022, and ends on January 21st, 2023? It is a Water Tiger year. We hope this year brings you joy and good luck!
#adaptively #adaptivelyeducation #lunarnewyear #yearofthetiger
Why are we concerned about #change? Because we are each an agent of change naturally as a problem solver. We each see change differently, estimating what info is useful, and what should be ignored. One allows just enough change so not to harm the ego. #Adaptively & #Innovatively.
https://t.co/mJ02XEoF2e for sale @squadhelp
#Adaptively #Startups #Startupname #SaaS #Domains #DomainNameForSale
https://t.co/mJ02XEoF2e is for sale @Undeveloped
Brandable, modern, unique, bold & easy to remember name, can be used by a startup or an indie project.
#Domain #DomainSales #AikyaMedia #Startup #Adaptive #Adaptively
https://t.co/4XbOw6hsLW
Really looking forward to start spreading the word from here ;) @Intersolar @the_smarter_E #SmartRenewableSystems
Systems that #learn from #data at scale can handle volatility #adaptively, hence better than static rules and manual processes.
https://t.co/bopVbNEUWs
CTO @Sebnem will be in München, giving a talk in the Digital Innovation session on “How AI is Better at Managing Energy”. Be sure to say hello! ⚡️
For more info and tickets: https://t.co/3xokTWF5RA
#AI #Tech #energy #energymanagement #energyefficiency @the_smarter_E
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