Exploring Approximate Deterministic Counting Via Marginal Entropy Optimization
Exploring Approximate Deterministic Counting Via Marginal Entropy Optimization reveals several interesting facts.
- Sharat Ibrahimpur (Waterloo); Chaitanya Swamy (Waterloo)
- Davin Richerby, University of Oxford
- Kamesh Munagala, Duke University https://simons.berkeley.edu/talks/kamesh-munagala-08-22-2016-1 Algorithms and ...
- Graduate Computational Complexity Theory Lecture 12:
- We will survey recent work in the design of
In-Depth Information on Approximate Deterministic Counting Via Marginal Entropy Optimization
Nima Anari (Stanford University) https://simons.berkeley.edu/talks/talk-37 Nisheeth Vishnoi (Yale University) https://simons.berkeley.edu/talks/talk-38 How to detect nonlinear dependence or Leslie Ann Goldberg, University of Oxford
Subscribe to the official Queen Mary University of London channel - bringing you breakthrough research findings and enhanced ...
Stay tuned for more updates related to Approximate Deterministic Counting Via Marginal Entropy Optimization.
