Related Events (a corresponding poster, oral, or spotlight)

• 2017 Spotlight: Implicit Regularization in Matrix Factorization »
  Tue Dec 5th 07:40 -- 07:45 PM Room Hall C

More from the Same Authors

• 2018 Poster: Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization »
  Blake Woodworth · Jialei Wang · Adam Smith · Brendan McMahan · Nati Srebro
• 2018 Spotlight: Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization »
  Blake Woodworth · Jialei Wang · Adam Smith · Brendan McMahan · Nati Srebro
• 2018 Poster: Implicit Bias of Gradient Descent on Linear Convolutional Networks »
  Suriya Gunasekar · Jason Lee · Daniel Soudry · Nati Srebro
• 2018 Poster: The Everlasting Database: Statistical Validity at a Fair Price »
  Blake Woodworth · Vitaly Feldman · Saharon Rosset · Nati Srebro
• 2018 Poster: On preserving non-discrimination when combining expert advice »
  Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro
• 2017 Poster: The Marginal Value of Adaptive Gradient Methods in Machine Learning »
  Ashia C Wilson · Rebecca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
• 2017 Oral: The Marginal Value of Adaptive Gradient Methods in Machine Learning »
  Ashia C Wilson · Rebecca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
• 2017 Poster: Stochastic Approximation for Canonical Correlation Analysis »
  Raman Arora · Teodor Vanislavov Marinov · Poorya Mianjy · Nati Srebro
• 2017 Poster: Exploring Generalization in Deep Learning »
  Behnam Neyshabur · Srinadh Bhojanapalli · David Mcallester · Nati Srebro
• 2016 Poster: Preference Completion from Partial Rankings »
  Suriya Gunasekar · Oluwasanmi Koyejo · Joydeep Ghosh
• 2016 Poster: Tight Complexity Bounds for Optimizing Composite Objectives »
  Blake Woodworth · Nati Srebro
• 2016 Poster: Single Pass PCA of Matrix Products »
  Shanshan Wu · Srinadh Bhojanapalli · Sujay Sanghavi · Alexandros Dimakis
• 2016 Poster: Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis »
  Weiran Wang · Jialei Wang · Dan Garber · Dan Garber · Nati Srebro
• 2016 Poster: Global Optimality of Local Search for Low Rank Matrix Recovery »
  Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
• 2016 Poster: Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations »
  Behnam Neyshabur · Yuhuai Wu · Russ Salakhutdinov · Nati Srebro
• 2016 Poster: Equality of Opportunity in Supervised Learning »
  Moritz Hardt · Eric Price · Eric Price · Nati Srebro
• 2016 Poster: Normalized Spectral Map Synchronization »
  Yanyao Shen · Qixing Huang · Nati Srebro · Sujay Sanghavi
• 2015 Poster: Unified View of Matrix Completion under General Structural Constraints »
  Suriya Gunasekar · Arindam Banerjee · Joydeep Ghosh
• 2015 Poster: Path-SGD: Path-Normalized Optimization in Deep Neural Networks »
  Behnam Neyshabur · Russ Salakhutdinov · Nati Srebro
• 2014 Poster: Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm »
  Deanna Needell · Rachel Ward · Nati Srebro
• 2013 Workshop: Learning Faster From Easy Data »
  Peter Grünwald · Wouter M Koolen · Sasha Rakhlin · Nati Srebro · Alekh Agarwal · Karthik Sridharan · Tim van Erven · Sebastien Bubeck
• 2013 Workshop: Large Scale Matrix Analysis and Inference »
  Reza Zadeh · Gunnar Carlsson · Michael Mahoney · Manfred K. Warmuth · Wouter M Koolen · Nati Srebro · Satyen Kale · Malik Magdon-Ismail · Ashish Goel · Matei A Zaharia · David Woodruff · Ioannis Koutis · Benjamin Recht
• 2013 Poster: Stochastic Optimization of PCA with Capped MSG »
  Raman Arora · Andrew Cotter · Nati Srebro
• 2013 Poster: Auditing: Active Learning with Outcome-Dependent Query Costs »
  Sivan Sabato · Anand D Sarwate · Nati Srebro
• 2013 Poster: The Power of Asymmetry in Binary Hashing »
  Behnam Neyshabur · Nati Srebro · Russ Salakhutdinov · Yury Makarychev · Payman Yadollahpour
• 2012 Poster: Sparse Prediction with the $k$-Support Norm »
  Andreas Argyriou · Rina Foygel · Nati Srebro
• 2012 Spotlight: Sparse Prediction with the $k$-Support Norm »
  Andreas Argyriou · Rina Foygel · Nati Srebro
• 2012 Poster: Matrix reconstruction with the local max norm »
  Rina Foygel · Nati Srebro · Russ Salakhutdinov
• 2011 Poster: Beating SGD: Learning SVMs in Sublinear Time »
  Elad Hazan · Tomer Koren · Nati Srebro
• 2011 Poster: Better Mini-Batch Algorithms via Accelerated Gradient Methods »
  Andrew Cotter · Ohad Shamir · Nati Srebro · Karthik Sridharan
• 2011 Poster: On the Universality of Online Mirror Descent »
  Nati Srebro · Karthik Sridharan · Ambuj Tewari
• 2011 Poster: Learning with the weighted trace-norm under arbitrary sampling distributions »
  Rina Foygel · Russ Salakhutdinov · Ohad Shamir · Nati Srebro
• 2010 Session: Spotlights Session 11 »
  Nati Srebro
• 2010 Session: Oral Session 13 »
  Nati Srebro
• 2010 Poster: Tight Sample Complexity of Large-Margin Learning »
  Sivan Sabato · Nati Srebro · Naftali Tishby
• 2010 Poster: Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm »
  Russ Salakhutdinov · Nati Srebro
• 2010 Poster: Practical Large-Scale Optimization for Max-norm Regularization »
  Jason D Lee · Benjamin Recht · Russ Salakhutdinov · Nati Srebro · Joel A Tropp
• 2010 Poster: Smoothness, Low Noise and Fast Rates »
  Nati Srebro · Karthik Sridharan · Ambuj Tewari
• 2009 Workshop: Understanding Multiple Kernel Learning Methods »
  Brian McFee · Gert Lanckriet · Francis Bach · Nati Srebro
• 2009 Poster: Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data »
  Boaz Nadler · Nati Srebro · Xueyuan Zhou
• 2009 Spotlight: Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data »
  Boaz Nadler · Nati Srebro · Xueyuan Zhou
• 2008 Poster: Fast Rates for Regularized Objectives »
  Karthik Sridharan · Shai Shalev-Shwartz · Nati Srebro