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Travelled to:
1 × Austria
1 × China
1 × France
1 × Greece
1 × The Netherlands
1 × United Kingdom
14 × USA
2 × Canada
2 × Italy
Collaborated with:
M.J.Kearns E.Kushilevitz E.Even-Dar B.Patt-Shamir B.Schieber S.Mannor N.Nisan P.Tiwari A.Blum M.O.Rabin S.Hart A.Kesselman S.Kutten E.Hazan R.Livni A.Gopalan N.Balcan U.Nadav A.T.Kalai E.Verbin P.DeMarzo I.Kremer H.Kaplan T.G.Dietterich Y.Afek Z.Ostfeld U.Vishkin A.Rubinstein S.Vardi N.Xie S.Muthukrishnan M.Yung D.Zuckerman A.Bar-Noy R.Canetti B.Awerbuch G.Varghese Z.Lotker M.Sviridenko M.L.Furst J.C.Jackson S.Rudich D.Ron R.Rubinfeld R.E.Schapire L.Sellie D.Bernstein D.Q.Goldin M.C.Golumbic H.Krawczyk I.Nahshon R.Y.Pinter
Talks about:
learn (9) algorithm (6) complex (4) decis (4) tree (4) time (4) converg (3) comput (3) optim (3) onlin (3)

Person: Yishay Mansour

DBLP DBLP: Mansour:Yishay

Contributed to:

ICML 20152015
ICML c1 20142014
ICML c3 20132013
ICALP (1) 20122012
STOC 20092009
STOC 20082008
STOC 20072007
STOC 20062006
STOC 20052005
ICALP 20032003
ICML 20032003
STOC 20012001
ICML 19981998
ICML 19971997
ICML 19961996
STOC 19961996
STOC 19951995
STOC 19941994
STOC 19931993
ICALP 19921992
STOC 19911991
STOC 19901990
ICALP 19891989
PLDI 19891989

Wrote 30 papers:

ICML-2015-HazanLM #classification #rank
Classification with Low Rank and Missing Data (EH, RL, YM), pp. 257–266.
ICML-c1-2014-GopalanMM #online #problem
Thompson Sampling for Complex Online Problems (AG, SM, YM), pp. 100–108.
ICML-c3-2013-BalcanBM #learning #ontology
Exploiting Ontology Structures and Unlabeled Data for Learning (NB, AB, YM), pp. 1112–1120.
ICALP-v1-2012-MansourRVX #algorithm #online
Converting Online Algorithms to Local Computation Algorithms (YM, AR, SV, NX), pp. 653–664.
ICALP-v1-2012-RabinMMY #performance #strict #transaction #validation
Strictly-Black-Box Zero-Knowledge and Efficient Validation of Financial Transactions (MOR, YM, SM, MY), pp. 738–749.
STOC-2009-Even-DarMN #convergence #game studies #on the
On the convergence of regret minimization dynamics in concave games (EED, YM, UN), pp. 523–532.
STOC-2008-KalaiMV #learning #on the
On agnostic boosting and parity learning (ATK, YM, EV), pp. 629–638.
STOC-2007-HartM #communication #complexity #equilibrium #nash
The communication complexity of uncoupled nash equilibrium procedures (SH, YM), pp. 345–353.
STOC-2006-DeMarzoKM #algorithm #online #robust
Online trading algorithms and robust option pricing (PD, IK, YM), pp. 477–486.
STOC-2005-KaplanKM #learning
Learning with attribute costs (HK, EK, YM), pp. 356–365.
ICALP-2003-Even-DarKM #convergence #nash
Convergence Time to Nash Equilibria (EED, AK, YM), pp. 502–513.
ICML-2003-Even-DarMM #learning
Action Elimination and Stopping Conditions for Reinforcement Learning (EED, SM, YM), pp. 162–169.
STOC-2001-KesselmanLMPSS
Buffer overflow management in QoS switches (AK, ZL, YM, BPS, BS, MS), pp. 520–529.
ICML-1998-KearnsM #algorithm #bottom-up #performance
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization (MJK, YM), pp. 269–277.
ICML-1997-Mansour
Pessimistic decision tree pruning based Continuous-time (YM), pp. 202–210.
ICML-1996-DietterichKM #framework #learning
Applying the Waek Learning Framework to Understand and Improve C4.5 (TGD, MJK, YM), pp. 96–104.
STOC-1996-AfekMO #algorithm #complexity #convergence
Convergence Complexity of Optimistic Rate Based Flow Control Algorithms (YA, YM, ZO), pp. 89–98.
STOC-1996-KearnsM #algorithm #learning #on the #top-down
On the Boosting Ability of Top-Down Decision Tree Learning Algorithms (MJK, YM), pp. 459–468.
STOC-1995-Bar-NoyCKMS
Bandwidth allocation with preemption (ABN, RC, SK, YM, BS), pp. 616–625.
STOC-1995-MansourP
Many-to-one packet routing on grids (YM, BPS), pp. 258–267.
STOC-1994-BlumFJKMR #analysis #fourier #learning #query #statistics #using
Weakly learning DNF and characterizing statistical query learning using Fourier analysis (AB, MLF, JCJ, MJK, YM, SR), pp. 253–262.
STOC-1994-KearnsMRRSS #on the
On the learnability of discrete distributions (MJK, YM, DR, RR, RES, LS), pp. 273–282.
STOC-1994-MansourNV #communication #parallel #throughput #trade-off
Trade-offs between communication throughput and parallel time (YM, NN, UV), pp. 372–381.
STOC-1993-AwerbuchKMPV #self
Time optimal self-stabilizing synchronization (BA, SK, YM, BPS, GV), pp. 652–661.
STOC-1993-KushilevitzMRZ #bound #random
Lower bounds for randomized mutual exclusion (EK, YM, MOR, DZ), pp. 154–163.
ICALP-1992-Mansour #approximate #random
Randomized Interpolation and Approximation of Sparse Polynomials (YM), pp. 261–272.
STOC-1991-KushilevitzM #fourier #learning #using
Learning Decision Trees Using the Fourier Sprectrum (EK, YM), pp. 455–464.
STOC-1990-MansourNT #complexity
The Computational Complexity of Universal Hashing (YM, NN, PT), pp. 235–243.
ICALP-1989-MansourST #bound
Lower Bounds for Computations with the Floor Operation (YM, BS, PT), pp. 559–573.
PLDI-1989-BernsteinGGKMNP #compilation #optimisation
Spill Code Minimization Techniques for Optimizing Compilers (DB, DQG, MCG, HK, YM, IN, RYP), pp. 258–263.

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