Exploring Unconditional Lower Bounds For Adaptive Massively Parallel Computation
Exploring Unconditional Lower Bounds For Adaptive Massively Parallel Computation reveals several interesting facts.
- Graph Sparsification for Derandomizing
- I'm going to present a
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- [Full Presentation] Adversary Instantiation:
- Avishay Tal, Stanford University https://simons.berkeley.edu/talks/tradeoffs-learning-theory-i
In-Depth Information on Unconditional Lower Bounds For Adaptive Massively Parallel Computation
Unconditional lower bounds Krzysztof Onak, IBM T.J. Watson Research Center Information Theory in Complexity Theory and Combinatorics ... Ryan Williams (MIT) https://simons.berkeley.edu/talks/tbd-20 Boolean Devices. Artur Czumaj (University of Warwick) https://simons.berkeley.edu/talks/artur-czumaj-university-warwick-2024-05-22 Sublinear ...
Link to slides: https://cs.stanford.edu/people/paulliu/files/stoc-2020-slides.pdf Link to paper: ...
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