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Alex J. Smola — all works

30 works · ← Alex J. Smola

  1. Feature hashing for large scale multitask learning ↗International Conference on Machine Learning · no summary yetKilian Q. Weinberger et al.2009 · 958 citations
  2. Automatic Chain of Thought Prompting in Large Language ModelsarXiv:2210.03493Zhuosheng Zhang, Aston Zhang, Mu Li, et al.2022 · 695 citations
  3. Learning Graph Matching ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetTibério S. Caetano et al.383 citations
  4. COFI RANK - Maximum margin matrix factorization for collaborative ranking ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetMarkus Weimer et al.2007 · 349 citations
  5. Fastfood: approximating kernel expansions in loglinear time ↗no summary yetQuoc Viet Le, Tamás Sarlós, Alex J. Smola2013 · 317 citations
  6. Multimodal Chain-of-Thought Reasoning in Language ModelsarXiv:2302.00923Zhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 308 citations
  7. Hilbert space embeddings of conditional distributions with applications to dynamical systems ↗International Conference on Machine Learning · no summary yetLe Song et al.2009 · 255 citations
  8. Bundle Methods for Regularized Risk Minimization ↗no summary yetChoon Hui Teo et al.2010 · 227 citations
  9. Deep Sets ↗arXiv (Cornell University) · no summary yetManzil Zaheer et al.2017 · 199 citations
  10. Slow Learners are Fast ↗neural information processing systems · no summary yetMartin Zinkevich, John C. Langford, Alex J. Smola2009 · 196 citations
  11. Heteroscedastic Gaussian process regression ↗International Conference on Machine Learning · no summary yetQuoc Viet Le, Alex J. Smola, Stéphane Canu2005 · 181 citations
  12. A scalable modular convex solver for regularized risk minimization ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetChoon Hui Teo et al.2007 · 174 citations
  13. Estimating Labels from Label Proportions ↗no summary yetNovi Quadrianto et al.2009 · 154 citations
  14. Super-Samples from Kernel Herding ↗arXiv (Cornell University) · no summary yetYutian Chen, Max Welling, Alex J. Smola2012 · 153 citations
  15. Bundle Methods for Machine Learning ↗neural information processing systems · no summary yetQuoc Viet Le, Alex J. Smola, S. V. N. Vishwanathan2007 · 124 citations
  16. Fastfood - Computing Hilbert Space Expansions in loglinear time ↗International Conference on Machine Learning · no summary yetQuoc Viet Le, Tamás Sarlós, Alexander Johannes Smola2013 · 101 citations
  17. Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization ↗neural information processing systems · no summary yetSashank Jakkam Reddi et al.2016 · 96 citations
  18. Direct Optimization of Ranking Measures ↗arXiv (Cornell University) · no summary yetQuoc Viet Le, Alexander Johannes Smola2007 · 94 citations
  19. Symbolic Music Generation with Transformer-GANs ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetAashiq Muhamed et al.2021 · 66 citations
  20. Tighter Bounds for Structured Estimation ↗no summary yetOlivier Chapelle et al.2008 · 62 citations
  21. Learning Graph Matching ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetTibério S. Caetano et al.2007 · 62 citations
  22. A Generic Approach for Escaping Saddle points ↗arXiv (Cornell University) · no summary yetSashank Jakkam Reddi et al.2017 · 52 citations
  23. Parameter-Efficient Fine-Tuning Design SpacesarXiv:2301.01821Jiaao Chen, Aston Zhang, Xingjian Shi, et al.2023 · 47 citations
  24. Simpler knowledge-based support vector machines ↗International Conference on Machine Learning · no summary yetQuoc Viet Le, Alex J. Smola, Thomas Gärtner2006 · 30 citations
  25. A Cheaper and Better Diffusion Language Model with Soft-Masked Noise ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJiaao Chen et al.2023 · 28 citations
  26. Large-Scale Multiclass Transduction ↗no summary yetThomas Gärtner et al.2005 · 18 citations
  27. Fastfood: Approximate Kernel Expansions in Loglinear Time ↗arXiv (Cornell University) · no summary yetQuoc Viet Le, Tamás Sarlós, Alexander Johannes Smola2014 · 13 citations
  28. Transductive Gaussian Process Regression with Automatic Model Selection ↗Lecture notes in computer science · no summary yetQuoc Viet Le et al.2006 · 9 citations

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