AS
Alex Smola
cs.LGstat.MLcs.AIcs.CLcs.CVcs.NEAlgorithmscs.DBcs.DSmath.OC
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
49 papers in the corpus · 2001–2026The Pok\'emon Theorem and other Fairness Impossibility Results2605.09221v1 · Daniel Matsui Smola, Alex Smola2026 · 0 citationsarXiv
EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge2505.23009v1 · Ruskin Raj Manku, Yuzhi Tang, Xingjian Shi et al.2025 · 1 citationarXiv
Multimodal Chain-of-Thought Reasoning in Language Models2302.00923v5 · Zhuosheng Zhang, Aston Zhang, Mu Li et al.2023 · 100 citationsarXiv
RLSbench: Domain Adaptation Under Relaxed Label Shift2302.03020v2 · Saurabh Garg, Nick Erickson, James Sharpnack et al.2023 · 0 citationsarXiv
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise2304.04746v1 · Jiaao Chen, Aston Zhang, Mu Li et al.2023 · 19 citationsarXiv
Parameter-Efficient Fine-Tuning Design Spaces2301.01821v1 · Jiaao Chen, Aston Zhang, Xingjian Shi et al.2023 · 16 citationsarXiv
Automatic Chain of Thought Prompting in Large Language Models2210.03493v1 · Zhuosheng Zhang, Aston Zhang, Mu Li et al.2022 · 233 citationsarXiv
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition2207.01160v1 · Haotao Wang, Aston Zhang, Yi Zhu et al.2022 · 10 citationsarXiv
Mixture Proportion Estimation and PU Learning: A Modern Approach2111.00980v1 · Saurabh Garg, Yifan Wu, Alex Smola et al.2021 · 5 citationsarXiv
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy1611.04488v6 · Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann et al.2016 · 169 citationsarXiv
Tiering as a Stochastic Submodular Optimization Problem2005.07893v1 · Hyokun Yun, Michael Froh, Roshan Makhijani et al.2020 · 0 citationsarXiv
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time1702.08159v15 · J. D. Curt'o, I. C. Zarza, Feng Yang et al.2017 · 4 citationsarXiv
Segmentation of Objects by Hashing1702.08160v13 · J. D. Curt'o, I. C. Zarza, Alex Smola et al.2017 · 0 citationsarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
New support vector algorithms10905814 · Scholkopf, Smola, Williamson et al.2019 · 2,820 citationsNeural computation. 2000;12(5):1207-45
The connection between regularization operators and support vector kernels.12662802 · Smola, Alex J., Schölkopf, Bernhard, Müller, Klaus Robert2019 · 628 citationsNeural networks : the official journal of the International Neural Network Society. 1998;11(4):637-649
Recognizing Variables from their Data via Deep Embeddings of Distributions1909.04844v1 · Jonas Mueller, Alex Smola2019 · 6 citationsarXiv
Deep Factors for Forecasting1905.12417v1 · Yuyang Wang, Alex Smola, Danielle C. Maddix et al.2019 · 79 citationsProceedings of Machine Learning Research, Volume 97: International Conference on Machine Learning, 2019
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning1711.05851v2 · Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer et al.2017 · 405 citationsarXiv
Deep Factors with Gaussian Processes for Forecasting1812.00098v1 · Danielle C. Maddix, Yuyang Wang, Alex Smola2018 · 18 citationsarXiv
Detecting and Correcting for Label Shift with Black Box Predictors1802.03916v3 · Zachary C. Lipton, Yu-Xiang Wang, Alex Smola2018 · 105 citationsarXiv
Deep Graphs1806.01235v1 · Emmanouil Antonios Platanios, Alex Smola2018 · 0 citationsarXiv
Data Driven Resource Allocation for Distributed Learning1512.04848v2 · Travis Dick, Mu Li, Venkata Krishna Pillutla et al.2015 · 1 citationarXiv
Stochastic Frank-Wolfe Methods for Nonconvex Optimization1607.08254v2 · Sashank J. Reddi, Suvrit Sra, Barnabas Poczos et al.2016 · 151 citationsarXiv
Neural Machine Translation with Recurrent Attention Modeling1607.05108v1 · Zichao Yang, Zhiting Hu, Yuntian Deng et al.2016 · 56 citationsarXiv
Trend Filtering on Graphs1410.7690v5 · Yu-Xiang Wang, James Sharpnack, Alex Smola et al.2014 · 30 citationsJournal of Machine Learning Research Volume (2016) Volume 17 Article 15-147
Stochastic Variance Reduction for Nonconvex Optimization1603.06160v2 · Sashank J. Reddi, Ahmed Hefny, Suvrit Sra et al.2016 · 226 citationsarXiv
Stacked Attention Networks for Image Question Answering1511.02274v2 · Zichao Yang, Xiaodong He, Jianfeng Gao et al.2015 · 2,207 citationsarXiv
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants1506.06840v2 · Sashank J. Reddi, Ahmed Hefny, Suvrit Sra et al.2015 · 147 citationsarXiv
Fast and Guaranteed Tensor Decomposition via Sketching1506.04448v2 · Yining Wang, Hsiao-Yu Tung, Alexander Smola et al.2015 · 62 citationsarXiv
Deep Fried Convnets1412.7149v4 · Zichao Yang, Marcin Moczulski, Misha Denil et al.2014 · 17 citationsarXiv
The Falling Factorial Basis and Its Statistical Applications1405.0558v2 · Yu-Xiang Wang, Alex Smola, Ryan J. Tibshirani2014 · 22 citationsarXiv
Randomized Nonlinear Component Analysis1402.0119v2 · David Lopez-Paz, Suvrit Sra, Alex Smola et al.2014 · 84 citationsarXiv
Hokusai - Sketching Streams in Real Time1210.4891v1 · Sergiy Matusevych, Alex Smola, Amr Ahmed2012 · 10 citationsarXiv
Classification in a normalized feature space using support vector machines.18238041 · Graf, A A, Smola, A J, Borer, S2012 · 112 citationsIEEE transactions on neural networks. 2003;14(3):597-605
Exponential Families for Conditional Random Fields1207.4131v1 · Yasemin Altun, Alex Smola, Thomas Hofmann2012 · 34 citationsarXiv
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations1206.6457v1 · Nando de Freitas, Alex Smola, Masrour Zoghi2012 · 86 citationsarXiv
Super-Samples from Kernel Herding1203.3472v1 · Yutian Chen, Max Welling, Alex Smola2012 · 166 citationsarXiv
Parallel Online Learning1103.4204v1 · Daniel Hsu, Nikos Karampatziakis, John Langford et al.2011 · 0 citationsarXiv
Kernelized sorting.20724758 · Quadrianto, Novi, Smola, Alex J, Song, Le et al.2010 · 57 citationsIEEE transactions on pattern analysis and machine intelligence. 2010;32(10):1809-21
Feature Hashing for Large Scale Multitask Learning0902.2206v5 · Kilian Weinberger, Anirban Dasgupta, Josh Attenberg et al.2009 · 969 citationsarXiv
Learning graph matching.19372609 · Caetano, Tibério S, McAuley, Julian J, Cheng, Li et al.2009 · 390 citationsIEEE transactions on pattern analysis and machine intelligence. 2009;31(6):1048-58
Learning Graph Matching0806.2890v1 · Tiberio S. Caetano, Julian J. McAuley, Li Cheng et al.2008 · 5 citationsarXiv
Gene selection via the BAHSIC family of algorithms.17646335 · Song, Le, Bedo, Justin, Borgwardt, Karsten M et al.2007 · 62 citationsBioinformatics (Oxford, England). 2007;23(13):i490-8
Supervised Feature Selection via Dependence Estimation0704.2668v1 · Le Song, Alex Smola, Arthur Gretton et al.2007 · 392 citationsarXiv
Integrating structured biological data by Kernel Maximum Mean Discrepancy.16873512 · Borgwardt, Karsten M, Gretton, Arthur, Rasch, Malte J et al.2006 · 1,737 citationsBioinformatics (Oxford, England). 2006;22(14):e49-57
Experimentally optimal nu in support vector regression for different noise models and parameter settings.15795117 · Chalimourda, Athanassia, Schölkopf, Bernhard, Smola, Alex J2005 · 2 citationsNeural networks : the official journal of the International Neural Network Society. 2005;18(2):205
Experimentally optimal nu in support vector regression for different noise models and parameter settings.14690713 · Chalimourda, Athanassia, Schölkopf, Bernhard, Smola, Alex J2004 · 141 citationsNeural networks : the official journal of the International Neural Network Society. 2004;17(1):127-41
Estimating the support of a high-dimensional distribution.11440593 · Schölkopf, B, Platt, J C, Shawe-Taylor, J et al.2001 · 6,179 citationsNeural computation. 2001;13(7):1443-71
Career total: 208 works. 49 are in this corpus.
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