Given a function f: F m → F over a finite field F, a low degree tester tests its proximity to an m-variate polynomial of total degree at most d over F. The tester is usually given access to an oracle A providing the supposed restrictions of f to affine subspaces of constant dimension (e.g., lines, planes, etc.). The tester makes very few (probabilistic) queries to f and to A (say, one query to f and one query to A), and decides whether to accept or reject based on the replies. We wish to minimize two parameters of a tester: its error and its size. The error bounds the probability that the tester accepts although the function is far from a low degree polynomial. The size is the number of bits required to write the oracle replies on all possi...
This paper strengthens the low-error PCP characterization of NP, coming closer to the ultimate BGLR ...
Abstract. We develop a new technique for proving lower bounds in property testing, by showing a stro...
We initiate a systematic study of locally testable codes; that is, error-correcting codes that admit...
A low-degree test is a collection of simple, local rules for checking the proximity of an arbitrary ...
We consider the field Fq. Let f: Fq → Fq for which we only know a fraction of input and output. We s...
We show a construction of a PCP with both sub-constant error and almost-linear size. Specifically, f...
NP = PCP(log n; 1) and related results crucially depend upon the close connection between the probab...
International audienceWe consider the proximity testing problem for error-correcting codes which con...
We define tests of boolean functions which distinguish between linear (or quadratic) polynomials, an...
One fundamental goal of high-dimensional statistics is to detect or recover planted structure (such ...
Abstract. We consider the problem of testing whether a given function f: Fnq → Fq is close to an n-v...
We describe a general method for testing whether a function on n input variables has a concise repre...
We describe an efficient randomized algorithm to test if a given binary function f : f0; 1g ! f0...
Abstract. We describe an efficient randomized algorithm to test if a given binary function is a low-...
© 2020 IEEE. Fix a prime p and a positive integer R. We study the property testing of functions math...
This paper strengthens the low-error PCP characterization of NP, coming closer to the ultimate BGLR ...
Abstract. We develop a new technique for proving lower bounds in property testing, by showing a stro...
We initiate a systematic study of locally testable codes; that is, error-correcting codes that admit...
A low-degree test is a collection of simple, local rules for checking the proximity of an arbitrary ...
We consider the field Fq. Let f: Fq → Fq for which we only know a fraction of input and output. We s...
We show a construction of a PCP with both sub-constant error and almost-linear size. Specifically, f...
NP = PCP(log n; 1) and related results crucially depend upon the close connection between the probab...
International audienceWe consider the proximity testing problem for error-correcting codes which con...
We define tests of boolean functions which distinguish between linear (or quadratic) polynomials, an...
One fundamental goal of high-dimensional statistics is to detect or recover planted structure (such ...
Abstract. We consider the problem of testing whether a given function f: Fnq → Fq is close to an n-v...
We describe a general method for testing whether a function on n input variables has a concise repre...
We describe an efficient randomized algorithm to test if a given binary function f : f0; 1g ! f0...
Abstract. We describe an efficient randomized algorithm to test if a given binary function is a low-...
© 2020 IEEE. Fix a prime p and a positive integer R. We study the property testing of functions math...
This paper strengthens the low-error PCP characterization of NP, coming closer to the ultimate BGLR ...
Abstract. We develop a new technique for proving lower bounds in property testing, by showing a stro...
We initiate a systematic study of locally testable codes; that is, error-correcting codes that admit...