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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2020-03-11
15:35
Kyoto Kyoto University
(Cancelled but technical report was issued)
Regret analysis of Thompson sampling using a general beta prior
Yuto Kawamura, Toshiyuki Tanaka (Kyoto Univ.) IBISML2019-49
For Bernoulli bandits, the asymptotic optimality of Thompson sampling with the uniform prior in terms of the regret has ... [more] IBISML2019-49
pp.107-112
IT, ISEC, WBS 2019-03-07
09:30
Tokyo University of Electro-Communications Analysis of Zero-Redundancy Estimator with a Finite Window for Markovian Source -- When the Statewise Alphabets are Unknown --
Yusuke Hashimoto, Tstutomu Kawabata (Univ. of Electro-Comm.) IT2018-89 ISEC2018-95 WBS2018-90
A Bayesian (Laplace or Krichevski-Trofimov) estimator for Markov source can be used to build a lossless
source code. Ho... [more]
IT2018-89 ISEC2018-95 WBS2018-90
pp.85-90
IBISML 2019-03-06
11:30
Tokyo RIKEN AIP Optimal Kernel for Mode Estimation via Kernel Density Estimation
Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-113
We have derived kernel functions that minimize the asymptotic mean squared error of the mode estimate, which is defined ... [more] IBISML2018-113
pp.59-64
IT, ISEC, WBS 2013-03-07
11:45
Osaka Kwansei Gakuin Univ., Osaka-Umeda Campus Order Estimator of Stationary Markov Sources Using Codeword Length of Universal Code
Shinji Kanazawa, Tomohiko Uyematsu (Tokyo Inst. of Tech.) IT2012-65 ISEC2012-83 WBS2012-51
Merhav et al. studied the problem of estimating the order of stationary Markov sources. They proposed an order estimator... [more] IT2012-65 ISEC2012-83 WBS2012-51
pp.19-24
IBISML 2013-03-05
11:00
Aichi Nagoya Institute of Technology Non-Achievability of Asymptotic Minimax Regret without Knowledge of the Sample Size
Kazuho Watanabe (NAIST), Teemu Roos, Petri Myllymaki (Helsinki Inst. for Information Tech.) IBISML2012-101
The normalized maximum likelihood (NML) model achieves the minimax regret for coding data of fixed sample size $n$. It i... [more] IBISML2012-101
pp.61-67
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