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Takanori Maehara

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2019
[i21]
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  - journals/corr/abs-1901-08291
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Kazuto Fukuchi, Satoshi Hara, Takanori Maehara:
Pretending Fair Decisions via Stealthily Biased Sampling. CoRR abs/1901.08291 (2019)
2018
[j8]
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Takanori Maehara, Naoki Marumo, Kazuo Murota:
Continuous relaxation for discrete DC programming. Math. Program. 169(1): 199-219 (2018)
[j7]
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Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi:
ClassiNet - Predicting Missing Features for Short-Text Classification. TKDD 12(5): 55:1-55:29 (2018)
[c27]
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Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara:
Dynamic Determinantal Point Processes. AAAI 2018: 3868-3875
[c26]
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Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida:
Statistically Efficient Estimation for Non-Smooth Probability Densities. AISTATS 2018: 978-987
[c25]
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Tatsunori Taniai, Takanori Maehara:
Neural Inverse Rendering for General Reflectance Photometric Stereo. ICML 2018: 4864-4873
[c24]
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Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata:
Optimal Bidding Strategy for Brand Advertising. IJCAI 2018: 424-432
[c23]
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  - conf/soda/YamaguchiM18
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Yutaro Yamaguchi, Takanori Maehara:
Stochastic Packing Integer Programs with Few Queries. SODA 2018: 293-310
[i20]
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  - journals/corr/abs-1802-10328
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Tatsunori Taniai, Takanori Maehara:
Neural Photometric Stereo Reconstruction for General Reflectance Surfaces. CoRR abs/1802.10328 (2018)
[i19]
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  - journals/corr/abs-1804-05260
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Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi:
ClassiNet - Predicting Missing Features for Short-Text Classification. CoRR abs/1804.05260 (2018)
[i18]
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  - journals/corr/abs-1805-07455
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So Nakashima, Takanori Maehara:
Subspace Selection via DR-Submodular Maximization on Lattices. CoRR abs/1805.07455 (2018)
[i17]
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  - journals/corr/abs-1806-07004
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Satoshi Hara, Kouichi Ikeno, Tasuku Soma, Takanori Maehara:
Maximally Invariant Data Perturbation as Explanation. CoRR abs/1806.07004 (2018)
[i16]
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  - journals/corr/abs-1807-04575
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Masakazu Ishihata, Takanori Maehara, Tomas Rigaux:
Algorithmic Meta-Theorems for Monotone Submodular Maximization. CoRR abs/1807.04575 (2018)
[i15]
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  - journals/corr/abs-1807-04942
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Soh Kumabe, Takanori Maehara, Ryoma Sin'ya:
Linear Pseudo-Polynomial Factor Algorithm for Automaton Constrained Tree Knapsack Problem. CoRR abs/1807.04942 (2018)
[i14]
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  - journals/corr/abs-1810-01730
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Ben Chugg, Takanori Maehara:
Submodular Stochastic Probing with Prices. CoRR abs/1810.01730 (2018)
[i13]
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  - journals/corr/abs-1810-04996
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Junpei Komiyama, Takanori Maehara:
A Simple Way to Deal with Cherry-picking. CoRR abs/1810.04996 (2018)
[i12]
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  - journals/corr/abs-1810-05992
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Satoshi Hara, Takanori Maehara:
Convex Hull Approximation of Nearly Optimal Lasso Solutions. CoRR abs/1810.05992 (2018)
2017
[c22]
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Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi:
Optimal Pricing for Submodular Valuations with Bounded Curvature. AAAI 2017: 622-628
[c21]
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Satoshi Hara, Takanori Maehara:
Enumerate Lasso Solutions for Feature Selection. AAAI 2017: 1985-1991
[c20]
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  - conf/aaai/HatanoFMK17
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Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi:
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling. AAAI 2017: 1992-1999
[c19]
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Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi:
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm. NIPS 2017: 3933-3942
[c18]
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  - conf/www/MaeharaSI17
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Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata:
Exact Computation of Influence Spread by Binary Decision Diagrams. WWW 2017: 947-956
[i11]
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Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata:
Exact Computation of Influence Spread by Binary Decision Diagrams. CoRR abs/1701.01540 (2017)
[i10]
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  - journals/corr/FukunagaM17
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Takuro Fukunaga, Takanori Maehara:
Computing a tree having a small vertex cover. CoRR abs/1701.08897 (2017)
[i9]
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  - journals/corr/TakabeMH17
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Satoshi Takabe, Takanori Maehara, Koji Hukushima:
Typical Approximation Performance for Maximum Coverage Problem. CoRR abs/1706.08721 (2017)
[i8]
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Takanori Maehara, Yutaro Yamaguchi:
Stochastic Packing Integer Programs with Few Queries. CoRR abs/1707.04020 (2017)
2016
[j6]
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  - journals/snam/NishiTOMTKM16
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Ryosuke Nishi, Taro Takaguchi, Keigo Oka, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi, Naoki Masuda:
Reply trees in Twitter: data analysis and branching process models. Social Netw. Analys. Mining 6(1): 26:1-26:13 (2016)
[c17]
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Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi:
Expected Tensor Decomposition with Stochastic Gradient Descent. AAAI 2016: 1919-1925
[c16]
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Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. AAAI 2016: 2690-2696
[c15]
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  - conf/cocoa/FukunagaM16
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Takuro Fukunaga, Takanori Maehara:
Computing a Tree Having a Small Vertex Cover. COCOA 2016: 77-91
[i7]
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Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi:
Optimal Pricing for Submodular Valuations with Bounded Curvature. CoRR abs/1611.07605 (2016)
2015
[j5]
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  - journals/anor/MaeharaM15
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Takanori Maehara, Kazuo Murota:
Valuated matroid-based algorithm for submodular welfare problem. Annals OR 229(1): 565-590 (2015)
[j4]
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  - journals/mp/MaeharaM15
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Takanori Maehara, Kazuo Murota:
A framework of discrete DC programming by discrete convex analysis. Math. Program. 152(1-2): 435-466 (2015)
[j3]
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  - journals/orl/Maehara15
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Takanori Maehara:
Risk averse submodular utility maximization. Oper. Res. Lett. 43(5): 526-529 (2015)
[c14]
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  - conf/aaai/HatanoFMK15
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Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi:
Lagrangian Decomposition Algorithm for Allocating Marketing Channels. AAAI 2015: 1144-1150
[c13]
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  - conf/aaai/BollegalaMYK15
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Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Learning Word Representations from Relational Graphs. AAAI 2015: 2146-2152
[c12]
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  - conf/acl/BollegalaMK15
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Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Unsupervised Cross-Domain Word Representation Learning. ACL (1) 2015: 730-740
[c11]
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Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi:
Scalable SimRank join algorithm. ICDE 2015: 603-614
[c10]
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Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi:
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View. ICML 2015: 428-437
[c9]
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Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Embedding Semantic Relations into Word Representations. IJCAI 2015: 1222-1228
[c8]
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  - conf/kdd/HayashiMTK15
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Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi:
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering. KDD 2015: 417-426
[c7]
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  - conf/kdd/OhsakaMK15
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Naoto Ohsaka, Takanori Maehara, Ken-ichi Kawarabayashi:
Efficient PageRank Tracking in Evolving Networks. KDD 2015: 875-884
[c6]
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  - conf/mco/MaeharaMM15
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Takanori Maehara, Naoki Marumo, Kazuo Murota:
Continuous Relaxation for Discrete DC Programming. MCO (1) 2015: 181-190
[c5]
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  - conf/networking/KawaseMK15
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Yasushi Kawase, Takanori Maehara, Ken-ichi Kawarabayashi:
Scalable sensor localization via ball-decomposition algorithm. Networking 2015: 1-9
[i6]
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  - journals/corr/BollegalaMK15
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Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Embedding Semantic Relations into Word Representations. CoRR abs/1505.00161 (2015)
[i5]
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Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Unsupervised Cross-Domain Word Representation Learning. CoRR abs/1505.07184 (2015)
[i4]
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Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning using a Corpus and a Semantic Lexicon. CoRR abs/1511.06438 (2015)
2014
[j2]
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Takanori Maehara, Takuya Akiba, Yoichi Iwata, Ken-ichi Kawarabayashi:
Computing Personalized PageRank Quickly by Exploiting Graph Structures. PVLDB 7(12): 1023-1034 (2014)
[c4]
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Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi:
Efficient SimRank computation via linearizationPublication of this article pending inquiry. KDD 2014: 1426-1435
[c3]
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  - conf/kdd/AkibaMK14
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Takuya Akiba, Takanori Maehara, Ken-ichi Kawarabayashi:
Network structural analysis via core-tree-decomposition Publication of this article pending inquiry. KDD 2014: 1476-1485
[c2]
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  - conf/sigmod/KusumotoMK14
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Mitsuru Kusumoto, Takanori Maehara, Ken-ichi Kawarabayashi:
Scalable similarity search for SimRank. SIGMOD Conference 2014: 325-336
[i3]
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  - journals/corr/TakaguchiMTK14
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Taro Takaguchi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi:
Existence of outsiders as a characteristic of online communication networks. CoRR abs/1411.7091 (2014)
[i2]
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Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi:
Efficient SimRank Computation via Linearization. CoRR abs/1411.7228 (2014)
[i1]
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Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Learning Word Representations from Relational Graphs. CoRR abs/1412.2378 (2014)
2011
[j1]
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  - journals/siammax/MaeharaM11
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Takanori Maehara, Kazuo Murota:
Algorithm for Error-Controlled Simultaneous Block-Diagonalization of Matrices. SIAM J. Matrix Analysis Applications 32(2): 605-620 (2011)
2010
[c1]
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  - conf/ica/GutchMT10
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Harold W. Gutch, Takanori Maehara, Fabian J. Theis:
Second Order Subspace Analysis and Simple Decompositions. LVA/ICA 2010: 370-377

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