Protein function prediction via graph kernels von Borgwardt, Karsten M., Ong, Cheng Soon, Schönauer, Stefan, Vishwanathan, S. V. N., Smola, Alex J., Kriegel, Hans-Peter

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Binet-cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes von VISHWANATHAN, S. V. N, SMOLA, Alexander J, VIDAL, René

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Web-Scale Semantic Product Search with Large Language Models von Muhamed, Aashiq, Srinivasan, Sriram, Teo, Choon-Hui, Cui, Qingjun, Zeng, Belinda, Chilimbi, Trishul, Vishwanathan, S. V. N.

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Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties von Feng Yan, Sundaram, Shreyas, Vishwanathan, S. V. N., Qi, Yuan

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Introduction to the special issue on mining and learning with graphs von Vishwanathan, S. V. N., Kaski, Samuel, Neville, Jennifer, Wrobel, Stefan

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Colors -- Messengers of Concepts: Visual Design Mining for Learning Color Semantics von Jahanian, Ali, Keshvari, Shaiyan, Vishwanathan, S. V. N., Allebach, Jan P.

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Leaving the Span von Warmuth, Manfred K., Vishwanathan, S. V. N.

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NOMAD: non-locking, stochastic multi-machine algorithm for asynchronous and decentralized matrix completion von Yun, Hyokun, Yu, Hsiang-Fu, Hsieh, Cho-Jui, Vishwanathan, S. V. N., Dhillon, Inderjit

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Nomadic Computing for Big Data Analytics von Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, Vishwanathan, S. V. N., Dhillon, Inderjit

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Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem von Matsushima, Shin, Yun, Hyokun, Zhang, Xinhua, Vishwanathan, S. V. N.

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A Zero Attention Model for Personalized Product Search von Ai, Qingyao, Hill, Daniel N, Vishwanathan, S V N, Croft, W Bruce

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Efficient max-margin multi-label classification with applications to zero-shot learning: Special Issue on Learning from Multi-Label Data von HARIHARAN, Bharath, VISHWANATHAN, S. V. N, VARMA, Manik

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Speciale Issue on Mining and Learning with Graphs von VISHWANATHAN, S. V. N, KASKI, Samuel, NEVILLE, Jennifer, WROBEL, Stefan

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Distributed Stochastic Optimization of the Regularized Risk von Matsushima, Shin, Hyokun Yun, Zhang, Xinhua, Vishwanathan, S V N

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Learnability of probabilistic automata via oracles von GUTTMAN, Omri, VISHWANATHAN, S. V. N, WILLIAMSON, Robert C

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DS-FACTO: Doubly Separable Factorization Machines von Raman, Parameswaran, Vishwanathan, S. V. N

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sLLE: Spherical locally linear embedding with applications to tomography von Yi Fang, Mengtian Sun, Vishwanathan, S. V. N., Ramani, K.

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Toward Understanding Privileged Features Distillation in Learning-to-Rank von Yang, Shuo, Sanghavi, Sujay, Rahmanian, Holakou, Bakus, Jan, Vishwanathan, S. V. N

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An Efficient Bandit Algorithm for Realtime Multivariate Optimization von Hill, Daniel N, Nassif, Houssam, Liu, Yi, Iyer, Anand, Vishwanathan, S V N

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DFacTo: Distributed Factorization of Tensors von Choi, Joon Hee, Vishwanathan, S. V. N

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