Takanori Maehara is a Software Engineer at Meta (previously known as
Facebook). Before joining Meta, he spend 8 years in academia as
Post-Doctoral Researcher at National Institute of Informatics, Assistant
Professor at Shizuoka University, and Unit Leader at RIKEN Center for
Advanced Intelligence Project. He is motivated in solving real-world
problems using theoretically-grounded algorithms.
Takanori Maehara, So Nakashima (2021): “Rank axiom of modular supermatroids: A connection with directional DR submodular functions”. Advances in Applied Mathematics.[bibtex]
Takanori Maehara, Hoang NT (2021): “Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters”. Proceedings of the 35th Annual Conference on Neural Information Processing Systems (NeurIPS'21), Online, December 7–10, 2021.[bibtex]
Hoang NT, Takanori Maehara (2020): “Graph Homomorphism Convolution”. Proceedings of the 37th International Conference on Machine Learning (ICML'20), pp. 10552–10562.[bibtex]
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus (2020): “State-Space Based Network Topology Identification”. Proceedings of the 28th European Signal Processing Conference (EUSIPCO'20), Online, January 18–22, 2021, pp. 1055-1059.[bibtex]
Soh Kumabe, Takanori Maehara (2020): “Convexity of b-Matching Game”. Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI'20), Online, January 7–15, 2021, pp. 261–267.[bibtex]
Yoichi Sasaki, Takanori Maehara, Takumi Akazaki, Kazeto Yamamoto, Kunihiko Sadamasa (2020): “Solving Weighted Abduction via Max-SAT Solvers”. Proceedings of the 33rd International FLAIRS Conference (FLAIRS'20), pp. 142–147.[bibtex]
Soh Kumabe, Takanori Maehara (2020): “Convexity of Hypergraph Matching Game”. Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'20), Online, May 9–13, 2020, pp. 663–671.[bibtex]
Kazuto Fukuchi, Satoshi Hara, Takanori Maehara (2020): “Faking Fairness via Stealthily Biased Sampling”. Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), Special Track on AI for Social Impact, New York, New York, USA, February 7–12, 2020, to appear.[bibtex]
Satoshi Hara, Atsushi Nitanda, Takanori Maehara (2019): “Data Cleansing for Models Trained with SGD”. Proceedings of the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS'19), Vancouver, Canada, December 8–14, 2019, pp. 4215–4224.[bibtex]
Satoshi Hara, Takanori Maehara (2019): “Convex Hull Approximation of Nearly Optimal Lasso Solutions”. Proceedings of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI'19), anuca Island, Cuvu, Fiji, August 26–30, 2019, pp. 350–363.[bibtex]
Junjie Chen, Takanori Maehara (2019): “Chance-Constrained Submodular Knapsack Problem”. Proceedings of the 25th International Computing and Combinatorics Conference (COCOON'19), Xian, China, July 29–31, 2019, pp. 103–114.[bibtex]
Masakazu Ishihata, Takanori Maehara (2019): “Exact Bernoulli Scan Statistics using Binary Decision Diagrams”. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), Macau, China, August 10–16, 2019, pp. 5737–5743.[bibtex]
Mohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala (2019): “Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy”. Proceedings of the 1st Conference on Automated Knowledge Base Construction (AKBC'19), University of Massachusetts Amherst, United States, May 20–22, 2019.[bibtex]
Ben Chugg, Takanori Maehara (2019): “Submodular Stochastic Probing with Prices”. Proceedings of the 6th International Conference on Control, Decision and Information Technologies (CoDIT'19), Paris, France, April 23–25, 2019, pp. 60–66.[bibtex]
So Nakashima, Takanori Maehara (2019): “Subspace Selection via DR-Submodular Maximization on Lattices”. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, January 27–February 1, 2019, pp. 4618–4625.[bibtex]
Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata (2018): “Optimal Bidding Strategy for Brand Advertising”. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, July 13–19, 2018, pp. 424–432.[bibtex]
Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida (2018): “Statistically Efficient Estimation for Non-Smooth Probability Densities”. International Conference on Artificial Intelligence and Statistics (AISTATS'18), Playa Blanca, Lanzarote, Canary Islands, Spain, April 9–11, 2018, pp. 978–987.[bibtex]
Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara (2018): “Dynamic Determinantal Point Processes”. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, Louisiana, USA, February 2–7, 2018, pp. 3868–3875.[bibtex]
Takanori Maehara, Yutaro Yamaguchi (2018): “Stochastic Packing Integer Programs with Few Queries”. Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA'18), New Orleans, LA, USA, January 7–10, 2018, pp. 293–310.[bibtex]
Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi (2017): “Optimal Pricing for Submodular Valuations with Bounded Curvature”. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, California, USA, February 4–9, 2017, pp. 622–628.[bibtex]
Satoshi Hara, Takanori Maehara (2017): “Enumerate Lasso Solutions for Feature Selection”. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, California, USA, February 4–9, 2017, pp. 1985–1991.[bibtex]
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi (2017): “Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling”. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, California, USA, February 4–9, 2017, pp. 1992–1999.[bibtex]
Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata (2017): “Exact Computation of Influence Spread by Binary Decision Diagrams”. Proceedings of the 26th International Conference on World Wide Web (WWW'17), Perth, Australia, April 3–7, 2017, pp. 947–956.[bibtex]
Ryosuke Nishi, Taro Takaguchi, Keigo Oka, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi, Naoki Masuda (2016): “Reply trees in Twitter: data analysis and branching process models”. Social Network Analysis and Mining, vol. 6, no. 1, pp. 26:1–26:13.[bibtex]
Takuro Fukunaga, Takanori Maehara (2016): “Computing a Tree Having a Small Vertex Cover”. Proceedings of the 10th International Conference on Combinatorial Optimization and Applications (COCOA'16), Hong Kong, China, December 16–18, 2016, pp. 77–91.[bibtex]
Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi (2016): “Expected Tensor Decomposition with Stochastic Gradient Descent”. Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, Arizona, USA, February 12–17, 2016, pp. 1919–1925.[bibtex]
Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi (2016): “Joint Word Representation Learning Using a Corpus and a Semantic Lexicon”. Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, Arizona, USA., February 12–17, 2016, pp. 2690–2696.[bibtex]
Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi (2015): “Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering”. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), Sydney, New South Wales, Australia, August 10–13, 2015, pp. 417–426.[bibtex]
Naoto Ohsaka, Takanori Maehara, Ken-ichi Kawarabayashi (2015): “Efficient PageRank Tracking in Evolving Networks”. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), Sydney, New South Wales, Australia, August 10–13, 2015, pp. 875–884.[bibtex]
Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi (2015): “Unsupervised Cross-Domain Word Representation Learning”. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15), July 26–31, 2015, Beijing, China, pp. 730–740.[bibtex]
Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi (2015): “Embedding Semantic Relations into Word Representations”. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, July 25–31, 2015, pp. 1222–1228.[bibtex]
Takanori Maehara, Naoki Marumo, Kazuo Murota (2015): “Continuous Relaxation for Discrete DC Programming”. Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO'15), Metz, France, May 11–13, 2015, pp. 181–190.[bibtex]
Yasushi Kawase, Takanori Maehara, Ken-ichi Kawarabayashi (2015): “Scalable sensor localization via ball-decomposition algorithm”. Proceedings of the 14th IFIP Networking Conference (Networking'15), Toulouse, France, May 20–22, 2015, pp. 1–9.[bibtex]
Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi (2015): “Scalable SimRank join algorithm”. Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE'15), Seoul, South Korea, April 13–17, 2015, pp. 603–614.[bibtex]
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi (2015): “Lagrangian Decomposition Algorithm for Allocating Marketing Channels”. Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), Austin, Texas, USA, January 25–30, 2015, pp. 1144–1150.[bibtex]
Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi (2015): “Learning Word Representations from Relational Graphs”. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI'15), Austin, Texas, USA, January 25–30, 2015, pp. 2146–2152.[bibtex]
Takanori Maehara, Takuya Akiba, Yoichi Iwata, Ken-ichi Kawarabayashi (2014): “Computing Personalized PageRank Quickly by Exploiting Graph Structures”. Proceedings of the VLDB Endowment (The 40th International Conference on Very Large Data Bases (VLDB'14), Hangzhou, China, September 1–5, 2014), vol. 7, no. 12, pp. 1023–1034.[bibtex]
Mitsuru Kusumoto, Takanori Maehara, Ken-ichi Kawarabayashi (2014): “Scalable similarity search for SimRank”. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (SIGMOD'14), Snowbird, Utah, USA, June 22–27, 2014, pp. 325–336.[bibtex]
Harold W. Gutch, Takanori Maehara, Fabian J. Theis (2010): “Second Order Subspace Analysis and Simple Decompositions”. Proceedings of the 9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA'10), St. Malo, France, September 27–30, 2010, pp. 370–377.[bibtex]