Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Alex Smola

Yahoo! Research

Tiering as a Stochastic Submodular Optimization Problem

May 16, 2020
Hyokun Yun, Michael Froh, Roshan Makhijani, Brian Luc, Alex Smola, Trishul Chilimbi


  Access Paper or Ask Questions

Recognizing Variables from their Data via Deep Embeddings of Distributions

Sep 11, 2019
Jonas Mueller, Alex Smola

* IEEE International Conference on Data Mining (ICDM), 2019 

  Access Paper or Ask Questions

Deep Factors for Forecasting

May 28, 2019
Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean Foster, Tim Januschowski

* Proceedings of Machine Learning Research, Volume 97: International Conference on Machine Learning, 2019 
* http://proceedings.mlr.press/v97/wang19k/wang19k.pdf. arXiv admin note: substantial text overlap with arXiv:1812.00098 

  Access Paper or Ask Questions

SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Koneńćn√Ĺ, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher R√©, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


  Access Paper or Ask Questions

Deep Factors with Gaussian Processes for Forecasting

Nov 30, 2018
Danielle C. Maddix, Yuyang Wang, Alex Smola

* Third workshop on Bayesian Deep Learning (NeurIPS 2018), Montreal, Canada 

  Access Paper or Ask Questions

Efficient Multitask Feature and Relationship Learning

Sep 16, 2018
Han Zhao, Otilia Stretcu, Alex Smola, Geoff Gordon


  Access Paper or Ask Questions

Detecting and Correcting for Label Shift with Black Box Predictors

Jul 26, 2018
Zachary C. Lipton, Yu-Xiang Wang, Alex Smola

* Published at the International Conference on Machine Learning (ICML) 2018 

  Access Paper or Ask Questions

Deep Graphs

Jun 04, 2018
Emmanouil Antonios Platanios, Alex Smola


  Access Paper or Ask Questions

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Nov 15, 2017
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

* ICLR 2018 submission 

  Access Paper or Ask Questions

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy

Feb 10, 2017
Dougal J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alex Smola, Arthur Gretton

* Published at ICLR 2017 (public comments: http://openreview.net/forum?id=HJWHIKqgl ). v4: minor edits 

  Access Paper or Ask Questions

Data Driven Resource Allocation for Distributed Learning

Dec 15, 2016
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria Florina Balcan, Alex Smola


  Access Paper or Ask Questions

AIDE: Fast and Communication Efficient Distributed Optimization

Aug 24, 2016
Sashank J. Reddi, Jakub Koneńćn√Ĺ, Peter Richt√°rik, Barnab√°s P√≥cz√≥s, Alex Smola


  Access Paper or Ask Questions

Stochastic Frank-Wolfe Methods for Nonconvex Optimization

Jul 29, 2016
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos, Alex Smola


  Access Paper or Ask Questions

Neural Machine Translation with Recurrent Attention Modeling

Jul 18, 2016
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alex Smola


  Access Paper or Ask Questions

Trend Filtering on Graphs

Jun 04, 2016
Yu-Xiang Wang, James Sharpnack, Alex Smola, Ryan J. Tibshirani

* Journal of Machine Learning Research Volume (2016) Volume 17 Article 15-147 
* A short version appeared in AISTATS'2015 

  Access Paper or Ask Questions

Fast Stochastic Methods for Nonsmooth Nonconvex Optimization

May 23, 2016
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos, Alex Smola


  Access Paper or Ask Questions

Stochastic Variance Reduction for Nonconvex Optimization

Apr 04, 2016
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos, Alex Smola

* Minor feedback changes 

  Access Paper or Ask Questions

Fast Incremental Method for Nonconvex Optimization

Mar 19, 2016
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos, Alex Smola


  Access Paper or Ask Questions

Stacked Attention Networks for Image Question Answering

Jan 26, 2016
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Smola

* test-dev/standard results added 

  Access Paper or Ask Questions

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants

Jan 25, 2016
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabás Póczos, Alex Smola


  Access Paper or Ask Questions

Deep Fried Convnets

Jul 17, 2015
Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, Ziyu Wang

* svd experiments included 

  Access Paper or Ask Questions

Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo

Apr 12, 2015
Yu-Xiang Wang, Stephen E. Fienberg, Alex Smola


  Access Paper or Ask Questions

The Falling Factorial Basis and Its Statistical Applications

Oct 27, 2014
Yu-Xiang Wang, Alex Smola, Ryan J. Tibshirani

* Full version for the ICML paper with the same title 

  Access Paper or Ask Questions

Randomized Nonlinear Component Analysis

May 13, 2014
David Lopez-Paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani, Bernhard Schölkopf

* Appearing in ICML 2014 

  Access Paper or Ask Questions

Exponential Families for Conditional Random Fields

Jul 11, 2012
Yasemin Altun, Alex Smola, Thomas Hofmann

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

  Access Paper or Ask Questions

Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations

Jun 27, 2012
Nando de Freitas, Alex Smola, Masrour Zoghi

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012). arXiv admin note: substantial text overlap with arXiv:1203.2177 

  Access Paper or Ask Questions

Super-Samples from Kernel Herding

Mar 15, 2012
Yutian Chen, Max Welling, Alex Smola

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

  Access Paper or Ask Questions

Regret Bounds for Deterministic Gaussian Process Bandits

Mar 09, 2012
Nando de Freitas, Alex Smola, Masrour Zoghi

* 17 pages, 5 figures 

  Access Paper or Ask Questions

Parallel Online Learning

Mar 22, 2011
Daniel Hsu, Nikos Karampatziakis, John Langford, Alex Smola


  Access Paper or Ask Questions