An energy complexity model for algorithms
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Publication:2986878
DOI10.1145/2422436.2422470zbMath1362.68112OpenAlexW2091543319MaRDI QIDQ2986878
Akshat Verma, Swapnoneel Roy, Atri Rudra
Publication date: 16 May 2017
Published in: Proceedings of the 4th conference on Innovations in Theoretical Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1145/2422436.2422470
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Cites Work
- Teachability in computational learning
- Measuring teachability using variants of the teaching dimension
- Teaching a smarter learner.
- Occam's razor
- Pseudorandom generators for space-bounded computation
- On the power of inductive inference from good examples
- A model of interactive teaching
- Learning from different teachers
- On the limits of efficient teachability
- In search of an easy witness: Exponential time vs. probabilistic polynomial time.
- On the complexity of teaching
- On specifying Boolean functions by labelled examples
- Recent Developments in Algorithmic Teaching
- A theory of the learnable
- Teaching Randomized Learners
- Algorithmic Learning Theory
- A theory of goal-oriented communication
- Derandomizing polynomial identity tests means proving circuit lower bounds
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