| IEICE Technical Committee Submission System Advance Program |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top | Go Back | Prev NC Conf / Next NC Conf | [HTML] / [HTML(simple)] / [TEXT] | [Japanese] / [English] |
|
=============================================== Technical Committee on Neurocomputing (NC) Chair: Hirokazu Tanaka (Tokyo City Univ.) Vice Chair: Jun Izawa (Univ. of Tsukub) Secretary: Hiroki Terashima (NTT), Saori Tanaka (NAIST) Assistant: Yoshimasa Tawatsuji (Waseda Univ.), Takato Horii (Osaka Univ.) =============================================== Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) Chair: Masashi Sugiyama (Univ. of Tokyo) Vice Chair: Toshihiro Kamishima (AIST), Koji Tsuda (Univ. of Tokyo) Secretary: Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.) Assistant: Yoshinobu Kawahara (Osaka Univ.), Taiji Suzuki (Tokyo Inst. of Tech.) =============================================== Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) =============================================== Special Interest Group on Bioinformatics and Genomics (IPSJ-BIO) DATE: Thu, Jun 29, 2023 09:00 - 18:25 Fri, Jun 30, 2023 09:00 - 18:00 Sat, Jul 1, 2023 09:00 - 16:05 PLACE: Okinawa Institute of Science and Technology Graduate University Conference Center(1919-1 Tancha, Onna-son, Kunigami-gun Okinawa, Japan 904-0495. https://www.oist.jp/campus/access-map) TOPICS: ---------------------------------------- Thu, Jun 29 (09:00 - 18:25) ---------------------------------------- (1) 09:00 - 09:25 (2) 09:25 - 09:50 (3) 09:50 - 10:15 (4) 10:15 - 10:40 (5) 10:40 - 11:05 (6) 11:05 - 11:20 ----- Lunch Break ( 130 min. ) ----- (7) 13:30 - 13:55 (8) 13:55 - 14:20 (9) 14:20 - 14:45 (10) 14:45 - 15:10 (11) 15:10 - 15:35 (12) 15:35 - 15:50 (13) 15:50 - 16:05 ----- Break ( 10 min. ) ----- (14) 16:15 - 16:40 (15) 16:40 - 17:05 (16) 17:05 - 17:30 (17) 17:30 - 17:55 (18) 17:55 - 18:10 (19) 18:10 - 18:25 ---------------------------------------- Fri, Jun 30 AM (09:00 - 11:20) ---------------------------------------- (20) 09:00 - 09:25 (21) 09:25 - 09:50 (22) 09:50 - 10:15 (23) 10:15 - 10:40 (24) 10:40 - 11:05 (25) 11:05 - 11:20 ---------------------------------------- Fri, Jun 30 PM (13:30 - 15:40) ---------------------------------------- (26) 13:30 - 13:55 (27) 13:55 - 14:20 (28) 14:20 - 14:45 (29) 14:45 - 15:10 (30) 15:10 - 15:25 (31) 15:25 - 15:40 ---------------------------------------- Fri, Jun 30 PM (16:00 - 17:00) ---------------------------------------- ---------------------------------------- Fri, Jun 30 PM (17:00 - 18:00) ---------------------------------------- Speaker：Han Zhao Title：Fair and Optimal Prediction via Post-Processing Abstract：To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment across all demographics, but it often comes at the expense of model performance. Understanding such tradeoffs, therefore, underlies the design of fair algorithms. In this talk, I will first discuss our recent work on proving the tradeoff between fairness and accuracy in both classification and regression problems, where we show that the cost of fairness could be characterized by the optimal value of a Wasserstein-barycenter problem. Then I will show that the complexity of learning the optimal fair predictor is the same as learning the Bayes predictor, and present a post-processing algorithm based on the solution to the Wasserstein-barycenter problem that derives the optimal fair predictors from Bayes score functions. I will also present the empirical results of our fair algorithm and conclude the talk with some discussion on the close interplay between algorithmic fairness and domain generalization. ---------------------------------------- Sat, Jul 1 AM (09:00 - 16:05) ---------------------------------------- (32) 09:00 - 09:15 (33) 09:15 - 09:30 (34) 09:30 - 09:45 (35) 09:45 - 10:10 (36) 10:10 - 10:35 (37) 10:35 - 11:00 (38) 11:00 - 11:25 ----- Lunch Break ( 125 min. ) ----- (39) 13:30 - 13:55 (40) 13:55 - 14:20 (41) 14:20 - 14:45 (42) 14:45 - 15:00 (43) 15:00 - 15:25 (44) 15:25 - 15:40 (45) 15:40 - 16:05 ---------------------------------------- Thu, Jun 29 (13:30 - 18:05) ---------------------------------------- (46)/IBISML 13:30 - 13:55 Selective Inference for a Combination of Feature Selection Algorithms Tatsuya Matsukawa (Nagoya Univ.), Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Koichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) (47)/IBISML 13:55 - 14:20 (See Japanese page.) (48)/IBISML 14:20 - 14:45 Crystal structure X-ray absorption spectrum prediction and valence ratio estimation based on Gaussian process regression Takumi Iwashita, Haruki Hirai, Ryo Kobayashi, Tomoyuki Tamura, Masayuki Karasuyama (NIT) (49)/IBISML 14:45 - 15:10 Multiple Instance Learning with major class Kaito Shiku, Shinnosuke Matsuo (Kyushu Univ), Daiki Suehiro (YCU), Bise Ryoma (Kyushu Univ) (50)/IBISML 15:10 - 15:35 Selective Inference for DNN-driven Saliency Map Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Tomohiro Shiraishi (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) ----- Break ( 25 min. ) ----- (51)/IBISML 16:00 - 16:25 Kotaro Nagata, Kazuhiro Hotta (Meijo Univ) (52)/IBISML 16:25 - 16:50 Minorization-Maximization for Determinantal Point Processes Takahiro Kawashima (SOKENDAI), Hideitsu Hino (ISM/RIKEN) (53)/IBISML 16:50 - 17:15 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara (NTT) (54)/IBISML 17:15 - 17:40 Satoshi Kamiya (Meijo Univ.), Taka-aki Tsunoyama, Akihiro Kusumi (OIST), Kazuhiro Hotta (Meijo Univ.) (55)/IBISML 17:40 - 18:05 Potential of Domain-agnostic Encoder for Long-range DNA Sequences Naoki Kobayashi, Rintaro Saito, Satoru Morimoto, Tadashi Okoshi, Jin Nakazawa (Keio) ---------------------------------------- Fri, Jun 30 (09:30 - 15:35) ---------------------------------------- (56)/IBISML 09:30 - 09:55 Lipschitz bandits in unbounded metric spaces and their applications Takanobu Hara (Hokkaido Univ.) (57)/IBISML 09:55 - 10:20 (See Japanese page.) (58)/IBISML 10:20 - 10:45 Hierarchical Classification Transformer for Facial Expression Recognition Utilizing Basic Emotion Relationships Ryo Miyoshi, Shuichi Akizuki (Chukyo Univ.), Kensuke Tobitani (University of Nagasaki), Noriko Nagata (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.) (59)/IBISML 10:45 - 11:10 Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa, Ryoma Sato, Han Bao (Kyoto Univ./OIST), Kenta Niwa (NTT CS Lab.), Makoto Yamada (OIST) (60)/IBISML 11:10 - 11:35 On performance degradation of a method by minimizing the conditional mutual information for the out-of-distribution generalization Genki Takahashi, Toshiyuki Tanaka (Kyoto University) ----- Lunch Break ( 115 min. ) ----- (61)/IBISML 13:30 - 13:55 Predictive graph mining for attributed graph data through proximal gradient pruning Ren Sugihara, Shinji Tajima, Ryota Kitahara, Masayuki Karasuyama (NIT) (62)/IBISML 13:55 - 14:20 Exploring Regioselective Catalysts with Hierarchical Bandits Hongyuan Guo, Koji Tabata, Yoshihiro Matsumura, Tamiki Komatsuzaki (Hokkaido Univ.) (63)/IBISML 14:20 - 14:45 Analogy Tasks in BioConceptVec using Biological Pathways Hiroaki Yamagiwa, Ryoma Hashimoto (Kyoto Univ.), Kiwamu Arakane, Ken Murakami (IPR), Momose Oyama, Hidetoshi Shimodaira (Kyoto Univ.), Mariko Okada (IPR) (64)/IBISML 14:45 - 15:10 Diffusion model with MASKed input for generating gestures during dyadic conversation Yuya Okadome (TUS), Yutaka Nakamura (Riken) (65)/IBISML 15:10 - 15:35 Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths Yusuke Takase, Hidetoshi Shimodaira (Kyoto Univ.) ---------------------------------------- Sat, Jul 1 (09:30 - 11:10) ---------------------------------------- (66)/NC 09:30 - 09:55 Input interactions in hippocampal dentate gyrus granule cell dendrites Tadanobu Kamijo (Ryukyudai), Naoki Nakajima (Kyushujohodai), Takeshi Aihara (Tamagawa Univ.) (67)/NC 09:55 - 10:20 Analysis of nonequilibrium neural spiking activity using a state-space kinetic Ising model Ken Ishihara (Hokkaido Univ.), Hideaki Shimazaki (Kyoto Univ.) (68)/NC 10:20 - 10:45 Solving the Traveling Salesman Problem Using Oscillator Interaction Tomoaki Kinugasa (Tohoku Univ), Futo Ono, Kazuhiro Sakamoto (TMPU) (69)/NC 10:45 - 11:10 A Study on generating First-Person Video in moving daily space using variational auto encoders Xu Chenfei (Osaka Univ.), Okadome Yuya (TUS), Ishiguro Hiroshi (Osaka Univ.), Nakamura Yutaka (RIKEN) # Information for speakers General Talk will have 20 minutes for presentation and 5 minutes for discussion. # CONFERENCE SPONSORS: - This conference is co-sponsored by Japanese Neural Network Society and IEEE Computational Intelligence Society Japan Chapter. === Technical Committee on Neurocomputing (NC) === # SECRETARY: Yoshimasa Tawatsuji（Waseda Univ.） E-mail: y       ao    === Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) === # FUTURE SCHEDULE: Fri, Sep 8, 2023: Osaka Metropolitan University (Nakamozu Campus) [Sat, Jul 15], Topics: Machine Learning, etc. # SECRETARY: Atsuyoshi Nakamura (Hokkaido Unv.) a ist  i === Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) === === Special Interest Group on Bioinformatics and Genomics (IPSJ-BIO) === Last modified: 2023-06-15 10:09:33 |
Notification: Mail addresses are partially hidden against SPAM.
[Download Paper's Information (in Japanese)] <-- Press download button after click here.
[Cover and Index of IEICE Technical Report by Issue]
[Presentation and Participation FAQ] (in Japanese)
[Return to NC Schedule Page] / [Return to IBISML Schedule Page] / [Return to IPSJ-MPS Schedule Page] / [Return to IPSJ-BIO Schedule Page] /
| Go Top | Go Back | Prev NC Conf / Next NC Conf | [HTML] / [HTML(simple)] / [TEXT] | [Japanese] / [English] |
[Return to Top Page]