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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.
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