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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Australia
1 × Iceland
1 × Latvia
2 × United Kingdom
4 × USA
Collaborated with:
R.A.Servedio A.De C.Daskalakis S.Chan X.Sun C.H.Papadimitriou G.Pierrakos Y.Singer V.Feldman H.Liu M.Petracca L.P.Carloni J.Acharya C.Hegde J.Z.Li L.Schmidt H.K.Lee K.Matulef A.Wan P.Harsha A.Klivans R.Meka P.Raghavendra L.Tan
Talks about:
approxim (4) polynomi (3) effici (3) optim (3) distribut (2) algorithm (2) problem (2) sensit (2) near (2) threshold (1)

Person: Ilias Diakonikolas

DBLP DBLP: Diakonikolas:Ilias

Contributed to:

PODS 20152015
STOC 20142014
ICALP (1) 20132013
ICALP (1) 20122012
ICALP (2) 20122012
STOC 20122012
DAC 20112011
STOC 20102010
ICALP (1) 20082008

Wrote 10 papers:

PODS-2015-AcharyaDHLS #algorithm #approximate #performance
Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms (JA, ID, CH, JZL, LS), pp. 249–263.
STOC-2014-ChanDSS #approximate #estimation #performance #polynomial
Efficient density estimation via piecewise polynomial approximation (SoC, ID, RAS, XS), pp. 604–613.
ICALP-v1-2013-DeDS #algorithm #analysis #difference #fourier #geometry #robust
A Robust Khintchine Inequality, and Algorithms for Computing Optimal Constants in Fourier Analysis and High-Dimensional Geometry (AD, ID, RAS), pp. 376–387.
ICALP-v1-2012-DeDS #problem
The Inverse Shapley Value Problem (AD, ID, RAS), pp. 266–277.
ICALP-v2-2012-DiakonikolasPPS #trade-off
Efficiency-Revenue Trade-Offs in Auctions (ID, CHP, GP, YS), pp. 488–499.
STOC-2012-DaskalakisDS #learning
Learning poisson binomial distributions (CD, ID, RAS), pp. 709–728.
STOC-2012-DeDFS #approximate #parametricity #problem
Nearly optimal solutions for the chow parameters problem and low-weight approximation of halfspaces (AD, ID, VF, RAS), pp. 729–746.
DAC-2011-LiuDPC #approximate #composition #design #set
Supervised design space exploration by compositional approximation of Pareto sets (HYL, ID, MP, LPC), pp. 399–404.
STOC-2010-DiakonikolasHKMRST #bound #polynomial
Bounding the average sensitivity and noise sensitivity of polynomial threshold functions (ID, PH, AK, RM, PR, RAS, LYT), pp. 533–542.
ICALP-A-2008-DiakonikolasLMSW #testing
Efficiently Testing Sparse GF(2) Polynomials (ID, HKL, KM, RAS, AW), pp. 502–514.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.