Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Klim Efremenko is active.

Publication


Featured researches published by Klim Efremenko.


symposium on the theory of computing | 2009

3-query locally decodable codes of subexponential length

Klim Efremenko

Locally Decodable Codes (LDC) allow one to decode any particular symbol of the input message by making a constant number of queries to a codeword, even if a constant fraction of the codeword is damaged. In a recent work [Yek08] Yekhanin constructs a 3-query LDC with sub-exponential length of size exp(exp(O((log n)/(log log n)))). However, this construction requires a conjecture that there are infinitely many Mersenne primes. In this paper we give the first unconditional constant query LDC construction with subexponantial codeword length. In addition our construction reduces codeword length. We give construction of 3-query LDC with codeword length exp(exp(O(√{log n log log n ))). Our construction could also be extended to higher number of queries. We give a 2r-query LDC with length of exp(exp(O(☂[r] log n (log log n)r-1))).


foundations of computer science | 2014

List and Unique Coding for Interactive Communication in the Presence of Adversarial Noise

Mark Braverman; Klim Efremenko

In this paper we extend the notion of list-decoding to the setting of interactive communication and study its limits. In particular, we show that any protocol can be encoded, with a constant rate, into a list-decodable protocol which is resilient to a noise rate of up to 1/2--e, and that this is tight. Using our list-decodable construction, we study a more nuanced model of noise where the adversary can corrupt up to a fraction α Alices communication and up to a fraction β of Bobs communication. We use list-decoding in order to fully characterize the region RU of pairs (α β) for which unique decoding with a constant rate is possible. The region RU turns out to be quite unusual in its shape. In particular, it is bounded by a piecewise-differentiable curve with infinitely many pieces. We show that outside this region, the rate must be exponential. This suggests that in some error regimes, list-decoding is necessary for optimal unique decoding. We also consider the setting where only one party of the communication must output the correct answer. We precisely characterize the region of all pairs (α β) for which one-sided unique decoding is possible in a way that Alice will output the correct answer.


SIAM Journal on Computing | 2012

3-Query Locally Decodable Codes of Subexponential Length

Klim Efremenko

Locally decodable codes (LDCs) allow one to decode any particular symbol of the input message by making a constant number of queries to a codeword, even if a constant fraction of the codeword is damaged. In a recent work [J. ACM, 55 (2008), article 1], Yekhanin constructs a 3-query LDC with subexponential length. However, this construction requires a conjecture that there are infinitely many Mersenne primes. In this paper, we give the first unconditional constant query LDC construction with subexponential codeword length. In addition, our construction reduces codeword length.


foundations of computer science | 2010

Local List Decoding with a Constant Number of Queries

Avraham Ben-Aroya; Klim Efremenko; Amnon Ta-Shma

Recently Efremenko showed locally-decodable codes of sub-exponential length. That result showed that these codes can handle up to


combinatorial pattern matching | 2008

A Black Box for Online Approximate Pattern Matching

Raphaël Clifford; Klim Efremenko; Benny Porat; Ely Porat

\frac{1}{3}


conference on innovations in theoretical computer science | 2015

Maximal Noise in Interactive Communication over Erasure Channels and Channels with Feedback

Klim Efremenko; Ran Gelles; Bernhard Haeupler

fraction of errors. In this paper we show that the same codes can be locally unique-decoded from error rate


symposium on the theory of computing | 2016

Constant-rate coding for multiparty interactive communication is impossible

Mark Braverman; Klim Efremenko; Ran Gelles; Bernhard Haeupler

\half-\alpha


IEEE Transactions on Information Theory | 2016

Maximal Noise in Interactive Communication Over Erasure Channels and Channels With Feedback

Klim Efremenko; Ran Gelles; Bernhard Haeupler

for any


symposium on the theory of computing | 2012

From irreducible representations to locally decodable codes

Klim Efremenko

\alpha>0


international symposium on information theory | 2017

∊-MSR codes with small sub-packetization

Ankit Singh Rawat; Itzhak Tamo; Venkatesan Guruswami; Klim Efremenko

and locally list-decoded from error rate

Collaboration


Dive into the Klim Efremenko's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bernhard Haeupler

Carnegie Mellon University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jerzy Weyman

University of Connecticut

View shared research outputs
Researchain Logo
Decentralizing Knowledge