Alexander J. Smola
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
132
Venues
30
Active years
1997–2022
Best venue rank
A*
Where they publish
- A*ICML29 papers
- A*KDD16 papers
- AAISTATS11 papers
- AWSDM11 papers
- A*WWW10 papers
- AUAI6 papers
- A*AAAI5 papers
- A*CVPR4 papers
- A*COLT4 papers
- A*ICLR3 papers
- A*ICCV3 papers
- ARecSys3 papers
- BALT3 papers
- AISMB3 papers
- A*EMNLP2 papers
- ACIKM2 papers
- A*SIGIR2 papers
- BESANN2 papers
- CICANN2 papers
- AEACL1 paper
- ANAACL1 paper
- A*OSDI1 paper
- A*ICDM1 paper
- ASDM1 paper
- MulticonferenceICCS1 paper
- ADIS1 paper
- BICONIP1 paper
- MulticonferenceICASSP1 paper
- BIJCNN1 paper
- BPAKDD1 paper
Papers
132 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CVPR | ResNeSt: Split-Attention Networks. | Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola |
| 2022 | KDD | Multimodal AutoML for Image, Text and Tabular Data. | Nick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola |
| 2022 | KDD | BLISS: A Billion scale Index using Iterative Re-partitioning. | Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola |
| 2021 | AAAI | Symbolic Music Generation with Transformer-GANs. | Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola |
| 2020 | ICLR | Meta-Q-Learning. | Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola |
| 2020 | KDD | An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. | Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola |
| 2020 | KDD | Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data. | Jonas Mueller, Xingjian Shi, Alexander J. Smola |
| 2019 | EMNLP | Dive into Deep Learning for Natural Language Processing. | Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola |
| 2019 | UAI | Efficient Multitask Feature and Relationship Learning. | Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon |
| 2019 | UAI | P3O: Policy-on Policy-off Policy Optimization. | Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola |
| 2018 | AAAI | Variational Reasoning for Question Answering With Knowledge Graph. | Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song |
| 2018 | AISTATS | A Generic Approach for Escaping Saddle points. | Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabs Pczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola |
| 2018 | CVPR | Compressed Video Action Recognition. | Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krhenbhl |
| 2018 | ICML | Learning Steady-States of Iterative Algorithms over Graphs. | Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alexander J. Smola, Le Song |
| 2018 | ICML | Detecting and Correcting for Label Shift with Black Box Predictors. | Zachary C. Lipton, Yu-Xiang Wang, Alexander J. Smola |
| 2017 | AAAI | Data Driven Resource Allocation for Distributed Learning. | Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola |
| 2017 | AISTATS | Data Driven Resource Allocation for Distributed Learning. | Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola |
| 2017 | AISTATS | Attributing Hacks. | Ziqi Liu, Alexander J. Smola, Kyle Soska, Yu-Xiang Wang, Qinghua Zheng |
| 2017 | EACL | Neural Machine Translation with Recurrent Attention Modeling. | Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola |
| 2017 | ICCV | Sampling Matters in Deep Embedding Learning. | R. Manmatha, Chao-Yuan Wu, Alexander J. Smola, Philipp Krhenbhl |
| 2017 | ICLR | Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. | Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton |
| 2017 | ICLR | Joint Training of Ratings and Reviews with Recurrent Recommender Networks. | Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola |
| 2017 | ICML | Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data. | Manzil Zaheer, Amr Ahmed, Alexander J. Smola |
| 2017 | ICML | Canopy Fast Sampling with Cover Trees. | Manzil Zaheer, Satwik Kottur, Amr Ahmed, Jos M. F. Moura, Alexander J. Smola |
| 2017 | WSDM | Neural Survival Recommender. | How Jing, Alexander J. Smola |
| 2017 | WSDM | Recurrent Recommender Networks. | Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing |
| 2016 | AISTATS | AdaDelay: Delay Adaptive Distributed Stochastic Optimization. | Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola |
| 2016 | AISTATS | Exponential Stochastic Cellular Automata for Massively Parallel Inference. | Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alexander J. Smola, Guy L. Steele Jr. |
| 2016 | CVPR | Stacked Attention Networks for Image Question Answering. | Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola |
| 2016 | ICML | Stochastic Variance Reduction for Nonconvex Optimization. | Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabs Pczos, Alexander J. Smola |
| 2016 | NAACL | Hierarchical Attention Networks for Document Classification. | Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, Eduard H. Hovy |
| 2016 | RecSys | Using Navigation to Improve Recommendations in Real-Time. | Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico |
| 2016 | WWW | Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering. | Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola |
| 2016 | WSDM | DiFacto: Distributed Factorization Machines. | Mu Li, Ziqi Liu, Alexander J. Smola, Yu-Xiang Wang |
| 2015 | AAAI | Doubly Robust Covariate Shift Correction. | Sashank Jakkam Reddi, Barnabs Pczos, Alexander J. Smola |
| 2015 | AISTATS | Preferential Attachment in Graphs with Affinities. | Jay Lee, Manzil Zaheer, Stephan Gnnemann, Alexander J. Smola |
| 2015 | AISTATS | Trend Filtering on Graphs. | Yu-Xiang Wang, James Sharpnack, Alexander J. Smola, Ryan J. Tibshirani |
| 2015 | AISTATS | A la Carte - Learning Fast Kernels. | Zichao Yang, Andrew Gordon Wilson, Alexander J. Smola, Le Song |
| 2015 | ICCV | Deep Fried Convnets. | Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang |
| 2015 | ICML | Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods. | Seth R. Flaxman, Andrew Gordon Wilson, Daniel B. Neill, Hannes Nickisch, Alexander J. Smola |
| 2015 | ICML | Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo. | Yu-Xiang Wang, Stephen E. Fienberg, Alexander J. Smola |
| 2015 | KDD | Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. | Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song |
| 2015 | KDD | Who Supported Obama in 2012?: Ecological Inference through Distribution Regression. | Seth R. Flaxman, Yu-Xiang Wang, Alexander J. Smola |
| 2015 | KDD | Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. | Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola |
| 2015 | KDD | Cuckoo Linear Algebra. | Li Zhou, David G. Andersen, Mu Li, Alexander J. Smola |
| 2015 | RecSys | Fast Differentially Private Matrix Factorization. | Ziqi Liu, Yu-Xiang Wang, Alexander J. Smola |
| 2015 | WWW | ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly. | Alex Beutel, Amr Ahmed, Alexander J. Smola |
| 2015 | UAI | Communication Efficient Coresets for Empirical Loss Minimization. | Sashank J. Reddi, Barnabs Pczos, Alexander J. Smola |
| 2015 | WSDM | Inferring Movement Trajectories from GPS Snippets. | Mu Li, Amr Ahmed, Alexander J. Smola |
| 2014 | ICML | Randomized Nonlinear Component Analysis. | David Lopez-Paz, Suvrit Sra, Alexander J. Smola, Zoubin Ghahramani, Bernhard Schlkopf |
| 2014 | ICML | The Falling Factorial Basis and Its Statistical Applications. | Yu-Xiang Wang, Alexander J. Smola, Ryan J. Tibshirani |
| 2014 | KDD | Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS). | Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang |
| 2014 | KDD | Reducing the sampling complexity of topic models. | Aaron Q. Li, Amr Ahmed, Sujith Ravi, Alexander J. Smola |
| 2014 | KDD | Efficient mini-batch training for stochastic optimization. | Mu Li, Tong Zhang, Yuqiang Chen, Alexander J. Smola |
| 2014 | OSDI | Scaling Distributed Machine Learning with the Parameter Server. | Mu Li, David G. Andersen, Jun Woo Park, Alexander J. Smola, Amr Ahmed, Vanja Josifovski, James Long, Eugene J. Shekita, Bor-Yiing Su |
| 2014 | WWW | CoBaFi: collaborative bayesian filtering. | Alex Beutel, Kenton Murray, Christos Faloutsos, Alexander J. Smola |
| 2014 | WSDM | Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising. | Amr Ahmed, Abhimanyu Das, Alexander J. Smola |
| 2014 | WSDM | Taxonomy discovery for personalized recommendation. | Yuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J. Smola |
| 2013 | CIKM | Instant foodie: predicting expert ratings from grassroots. | Chenhao Tan, Ed H. Chi, David A. Huffaker, Gueorgi Kossinets, Alexander J. Smola |
| 2013 | ICML | Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling. | Amr Ahmed, Liangjie Hong, Alexander J. Smola |
| 2013 | ICML | Fastfood - Computing Hilbert Space Expansions in loglinear time. | Quoc V. Le, Tams Sarls, Alexander J. Smola |
| 2013 | KDD | The dataminer's guide to scalable mixed-membership and nonparametric bayesian models. | Amr Ahmed, Alexander J. Smola |
| 2013 | WWW | Hierarchical geographical modeling of user locations from social media posts. | Amr Ahmed, Liangjie Hong, Alexander J. Smola |
| 2013 | WWW | Distributed large-scale natural graph factorization. | Amr Ahmed, Nino Shervashidze, Shravan M. Narayanamurthy, Vanja Josifovski, Alexander J. Smola |
| 2013 | WWW | Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. | Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alexander J. Smola |
| 2012 | CIKM | Web-scale multi-task feature selection for behavioral targeting. | Amr Ahmed, Mohamed Aly, Abhimanyu Das, Alexander J. Smola, Tasos Anastasakos |
| 2012 | ICML | Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations. | Nando de Freitas, Alexander J. Smola, Masrour Zoghi |
| 2012 | KDD | Linear support vector machines via dual cached loops. | Shin Matsushima, S. V. N. Vishwanathan, Alexander J. Smola |
| 2012 | WWW | Discovering geographical topics in the twitter stream. | Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis |
| 2012 | SIGIR | Friend or frenemy?: predicting signed ties in social networks. | Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang |
| 2012 | UAI | Hokusai - Sketching Streams in Real Time. | Sergiy Matusevych, Alexander J. Smola, Amr Ahmed |
| 2012 | WSDM | Scalable inference in latent variable models. | Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan M. Narayanamurthy, Alexander J. Smola |
| 2012 | WSDM | Fair and balanced: learning to present news stories. | Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola |
| 2011 | KDD | Scalable distributed inference of dynamic user interests for behavioral targeting. | Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola |
| 2011 | KDD | Multiple domain user personalization. | Yucheng Low, Deepak Agarwal, Alexander J. Smola |
| 2011 | WWW | Unified analysis of streaming news. | Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo |
| 2011 | WWW | WWW 2011 invited tutorial overview: latent variable models on the internet. | Amr Ahmed, Alexander J. Smola |
| 2011 | WWW | Like like alike: joint friendship and interest propagation in social networks. | Shuang-Hong Yang, Bo Long, Alexander J. Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha |
| 2011 | SIGIR | Collaborative competitive filtering: learning recommender using context of user choice. | Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hongyuan Zha, Zhaohui Zheng |
| 2011 | WSDM | Bid generation for advanced match in sponsored search. | Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, George Mavromatis, Alexander J. Smola |
| 2011 | WSDM | Scalable clustering of news search results. | Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander J. Smola, Yi Chang, Zhaohui Zheng |
| 2010 | ICDM | Distributed Flow Algorithms for Scalable Similarity Visualization. | Novi Quadrianto, Dale Schuurmans, Alexander J. Smola |
| 2010 | ICML | Hilbert Space Embeddings of Hidden Markov Models. | Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola |
| 2010 | UAI | Super-Samples from Kernel Herding. | Yutian Chen, Max Welling, Alexander J. Smola |
| 2010 | WSDM | IntervalRank: isotonic regression with listwise and pairwise constraints. | Taesup Moon, Alexander J. Smola, Yi Chang, Zhaohui Zheng |
| 2009 | ICML | Hilbert space embeddings of conditional distributions with applications to dynamical systems. | Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu |
| 2009 | ICML | Feature hashing for large scale multitask learning. | Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg |
| 2009 | SDM | Near-optimal Supervised Feature Selection among Frequent Subgraphs. | Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt |
| 2008 | CVPR | Discriminative human action segmentation and recognition using semi-Markov model. | Qinfeng Shi, Li Wang, Li Cheng, Alexander J. Smola |
| 2008 | ICCS | Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning. | Ahmed H. El Zein, Eric McCreath, Alistair P. Rendell, Alexander J. Smola |
| 2008 | ICML | Estimating labels from label proportions. | Novi Quadrianto, Alexander J. Smola, Tibrio S. Caetano, Quoc V. Le |
| 2008 | ICML | Tailoring density estimation via reproducing kernel moment matching. | Le Song, Xinhua Zhang, Alexander J. Smola, Arthur Gretton, Bernhard Schlkopf |
| 2008 | RecSys | Adaptive collaborative filtering. | Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola |
| 2007 | AAAI | A Kernel Approach to Comparing Distributions. | Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schlkopf, Alexander J. Smola |
| 2007 | ALT | A Hilbert Space Embedding for Distributions. | Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schlkopf |
| 2007 | DIS | A Hilbert Space Embedding for Distributions. | Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schlkopf |
| 2007 | EMNLP | Semi-Markov Models for Sequence Segmentation. | Qinfeng Shi, Yasemin Altun, Alexander J. Smola, S. V. N. Vishwanathan |
| 2007 | ICCV | Learning Graph Matching. | Tibrio S. Caetano, Li Cheng, Quoc V. Le, Alexander J. Smola |
| 2007 | ICML | A dependence maximization view of clustering. | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt |
| 2007 | ICML | Supervised feature selection via dependence estimation. | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo |
| 2007 | ISMB | Gene selection via the BAHSIC family of algorithms. | Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola |
| 2007 | KDD | A scalable modular convex solver for regularized risk minimization. | Choon Hui Teo, Alexander J. Smola, S. V. N. Vishwanathan, Quoc V. Le |
| 2006 | COLT | Unifying Divergence Minimization and Statistical Inference Via Convex Duality. | Yasemin Altun, Alexander J. Smola |
| 2006 | ICML | Simpler knowledge-based support vector machines. | Quoc V. Le, Alexander J. Smola, Thomas Grtner |
| 2006 | ICML | Learning high-order MRF priors of color images. | Julian J. McAuley, Tibrio S. Caetano, Alexander J. Smola, Matthias O. Franz |
| 2006 | ICONIP | Newton-Like Methods for Nonparametric Independent Component Analysis. | Hao Shen, Knut Hper, Alexander J. Smola |
| 2006 | ISMB | Integrating structured biological data by Kernel Maximum Mean Discrepancy. | Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schlkopf, Alexander J. Smola |
| 2005 | AISTATS | Kernel Constrained Covariance for Dependence Measurement. | Arthur Gretton, Alexander J. Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Jon Pauls, Bernhard Schlkopf, Nikos K. Logothetis |
| 2005 | AISTATS | Kernel Methods for Missing Variables. | Alexander J. Smola, S. V. N. Vishwanathan, Thomas Hofmann |
| 2005 | ALT | Measuring Statistical Dependence with Hilbert-Schmidt Norms. | Arthur Gretton, Olivier Bousquet, Alexander J. Smola, Bernhard Schlkopf |
| 2005 | ESANN | Joint Regularization. | Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola |
| 2005 | ESANN | Kernel methods and the exponential family. | Stphane Canu, Alexander J. Smola |
| 2005 | ICML | Heteroscedastic Gaussian process regression. | Quoc V. Le, Alexander J. Smola, Stphane Canu |
| 2005 | ISMB | Protein function prediction via graph kernels. | Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schnauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel |
| 2004 | ICML | Gaussian process classification for segmenting and annotating sequences. | Yasemin Altun, Thomas Hofmann, Alexander J. Smola |
| 2004 | ICML | Learning with non-positive kernels. | Cheng Soon Ong, Xavier Mary, Stphane Canu, Alexander J. Smola |
| 2004 | UAI | Exponential Families for Conditional Random Fields. | Yasemin Altun, Alexander J. Smola, Thomas Hofmann |
| 2003 | COLT | Kernels and Regularization on Graphs. | Alexander J. Smola, Risi Kondor |
| 2003 | ICASSP | The kernel mutual information. | Arthur Gretton, Ralf Herbrich, Alexander J. Smola |
| 2003 | ICML | Machine Learning with Hyperkernels. | Cheng Soon Ong, Alexander J. Smola |
| 2003 | ICML | SimpleSVM. | S. V. N. Vishwanathan, Alexander J. Smola, M. Narasimha Murty |
| 2002 | ALT | Large Margin Classification for Moving Targets. | Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson |
| 2002 | ICML | Multi-Instance Kernels. | Thomas Grtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola |
| 2001 | AISTATS | An improved training algorithm for kernel Fisher discriminants. | Sebastian Mika, Alexander J. Smola, Bernhard Schlkopf |
| 2001 | COLT | A Generalized Representer Theorem. | Bernhard Schlkopf, Ralf Herbrich, Alexander J. Smola |
| 2000 | COLT | Entropy Numbers of Linear Function Classes. | Robert C. Williamson, Alexander J. Smola, Bernhard Schlkopf |
| 2000 | ICML | Query Learning with Large Margin Classifiers. | Colin Campbell, Nello Cristianini, Alexander J. Smola |
| 2000 | ICML | Sparse Greedy Matrix Approximation for Machine Learning. | Alexander J. Smola, Bernhard Schlkopf |
| 2000 | IJCNN | Choosing in Support Vector Regression with Different Noise Models: Theory and Experiments. | Athanassia Chalimourda, Bernhard Schlkopf, Alexander J. Smola |
| 2000 | PAKDD | Robust Ensemble Learning for Data Mining. | Gunnar Rtsch, Bernhard Schlkopf, Alexander J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Mller |
| 1997 | ICANN | Predicting Time Series with Support Vector Machines. | Klaus-Robert Mller, Alexander J. Smola, Gunnar Rtsch, Bernhard Schlkopf, Jens Kohlmorgen, Vladimir Vapnik |
| 1997 | ICANN | Kernel Principal Component Analysis. | Bernhard Schlkopf, Alexander J. Smola, Klaus-Robert Mller |