Toward better formula lower bounds
From MaRDI portal
Publication:5259555
DOI10.1145/2591796.2591856zbMath1315.68138OpenAlexW2057918151MaRDI QIDQ5259555
Avi Wigderson, Dmitry Gavinsky, Omri Weinstein, Or Meir
Publication date: 26 June 2015
Published in: Proceedings of the forty-sixth annual ACM symposium on Theory of computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1145/2591796.2591856
Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30) Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) (68Q17)
Related Items (6)
Toward the KRW composition conjecture: cubic formula lower bounds via communication complexity ⋮ Toward Better Formula Lower Bounds: The Composition of a Function and a Universal Relation ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Lifting Theorems for Equality ⋮ Prediction from partial information and hindsight, with application to circuit lower bounds
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Efficient algorithms for privately releasing marginals via convex relaxations
- The Geometry of Differential Privacy: The Small Database and Approximate Cases
- Faster Algorithms for Privately Releasing Marginals
- Private Learning and Sanitization: Pure vs. Approximate Differential Privacy
- Privately Releasing Conjunctions and the Statistical Query Barrier
- On the geometry of differential privacy
- Interactive privacy via the median mechanism
- The price of privately releasing contingency tables and the spectra of random matrices with correlated rows
- Lower Bounds in Differential Privacy
- Iterative Constructions and Private Data Release
- Characterizing the sample complexity of private learners
- Faster private release of marginals on small databases
- Bounds on the Sample Complexity for Private Learning and Private Data Release
- Differential Privacy and the Fat-Shattering Dimension of Linear Queries
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- New Efficient Attacks on Statistical Disclosure Control Mechanisms
- Collusion-secure fingerprinting for digital data
- On the complexity of differentially private data release
- Advances in Cryptology – CRYPTO 2004
- Answering n {2+o(1)} counting queries with differential privacy is hard
- Theory of Cryptography
This page was built for publication: Toward better formula lower bounds
