Reliable computation with noisy circuits and decision trees—a general n log n lower bound
SFCS '91 Proceedings of the 32nd annual symposium on Foundations of computer science
On the complexity of finite random functions
Information Processing Letters
Approximating threshold circuits by rational functions
Information and Computation
Computing with Noisy Information
SIAM Journal on Computing
PP is closed under intersection
Selected papers of the 23rd annual ACM symposium on Theory of computing
On the degree of Boolean functions as real polynomials
Computational Complexity - Special issue on circuit complexity
On the computational power of depth-2 circuits with threshold and modulo gates
Theoretical Computer Science
On the design of reliable Boolean circuits that contain partially unreliable gates
Journal of Computer and System Sciences
Quantum vs. classical communication and computation
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Average-Case Lower Bounds for Noisy Boolean Decision Trees
SIAM Journal on Computing
Computing Boolean functions by polynomials and threshold circuits
Computational Complexity
Finding OR in a noisy broadcast network
Information Processing Letters
Quantum lower bounds by polynomials
Journal of the ACM (JACM)
Learning DNF by Approximating Inclusion-Exclusion Formulae
COCO '99 Proceedings of the Fourteenth Annual IEEE Conference on Computational Complexity
Bounds for Small-Error and Zero-Error Quantum Algorithms
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Communication Complexity Lower Bounds by Polynomials
CCC '01 Proceedings of the 16th Annual Conference on Computational Complexity
Highly fault-tolerant parallel computation
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Journal of Computer and System Sciences - STOC 2001
Quantum lower bounds for the collision and the element distinctness problems
Journal of the ACM (JACM)
Computing in Fault Tolerance Broadcast Networks
CCC '04 Proceedings of the 19th IEEE Annual Conference on Computational Complexity
Computing Boolean functions from multiple faulty copies of input bits
Theoretical Computer Science - Latin American theorotical informatics
Computation in Noisy Radio Networks
SIAM Journal on Discrete Mathematics
Perceptrons: An Introduction to Computational Geometry
Perceptrons: An Introduction to Computational Geometry
Polynomial degree vs. quantum query complexity
Journal of Computer and System Sciences - Special issue on FOCS 2003
On Computation and Communication with Small Bias
CCC '07 Proceedings of the Twenty-Second Annual IEEE Conference on Computational Complexity
Quantum and Classical Strong Direct Product Theorems and Optimal Time-Space Tradeoffs
SIAM Journal on Computing
Robust Polynomials and Quantum Algorithms
Theory of Computing Systems
Unconditional lower bounds for learning intersections of halfspaces
Machine Learning
Any AND-OR Formula of Size N can be Evaluated in time N^{1/2 + o(1)} on a Quantum Computer
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
A tight lower bound for parity in noisy communication networks
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Agnostically Learning Halfspaces
SIAM Journal on Computing
Lower Bounds for the Noisy Broadcast Problem
SIAM Journal on Computing
Approximate Inclusion-Exclusion for Arbitrary Symmetric Functions
CCC '08 Proceedings of the 2008 IEEE 23rd Annual Conference on Computational Complexity
SFCS '85 Proceedings of the 26th Annual Symposium on Foundations of Computer Science
Communication on noisy channels: a coding theorem for computation
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
Lower Bounds for Noisy Wireless Networks using Sampling Algorithms
FOCS '08 Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science
Separating ${AC}^0$ from Depth-2 Majority Circuits
SIAM Journal on Computing
Multiparty Communication Complexity and Threshold Circuit Size of AC^0
FOCS '09 Proceedings of the 2009 50th Annual IEEE Symposium on Foundations of Computer Science
The Intersection of Two Halfspaces Has High Threshold Degree
FOCS '09 Proceedings of the 2009 50th Annual IEEE Symposium on Foundations of Computer Science
Quantum search on bounded-error inputs
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Hardness amplification in proof complexity
Proceedings of the forty-second ACM symposium on Theory of computing
Optimal bounds for sign-representing the intersection of two halfspaces by polynomials
Proceedings of the forty-second ACM symposium on Theory of computing
SIAM Journal on Computing
Lower Bounds for Agnostic Learning via Approximate Rank
Computational Complexity
Towards coding for maximum errors in interactive communication
Proceedings of the forty-third annual ACM symposium on Theory of computing
A note on quantum algorithms and the minimal degree of ε-error polynomials for symmetric functions
Quantum Information & Computation
Efficient and Explicit Coding for Interactive Communication
FOCS '11 Proceedings of the 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science
Coding for interactive communication
IEEE Transactions on Information Theory - Part 1
Finding parity in a simple broadcast network
IEEE Transactions on Information Theory
Signal propagation and noisy circuits
IEEE Transactions on Information Theory
Rational approximation techniques for analysis of neural networks
IEEE Transactions on Information Theory
Lower bounds for the complexity of reliable Boolean circuits with noisy gates
IEEE Transactions on Information Theory
Dual lower bounds for approximate degree and markov-bernstein inequalities
ICALP'13 Proceedings of the 40th international conference on Automata, Languages, and Programming - Volume Part I
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A basic question in any computational model is how to reliably compute a given function when the inputs or intermediate computations are subject to noise at a constant rate. Ideally, one would like to use at most a constant factor more resources compared to the noise-free case. This question has been studied for decision trees, circuits, automata, data structures, broadcast networks, communication protocols, and other models. Buhrman et al. (2003) posed the noisy computation problem for real polynomials. We give a complete solution to this problem. For any polynomial p:{0,1}n-[-1,1], we construct a polynomial probust:Rn-R of degree O(deg p+log(1/ε)) that epsilon-approximates p and is robust to noise in the inputs: |p(x)-probust(x+δ)|n and all delta∈[-1/3,1/3]n. This result is optimal with respect to all parameters. We construct probust explicitly for each p. Previously, it was open to give such a construction even for p=x1 ⊕ x2 ⊕ ... ⊕ xn (Buhrman et al., 2003). The proof contributes a technique of independent interest, which allows one to force partial cancellation of error terms in a polynomial.