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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Contrasting the landscape of contrastive and non-contrastive learning


Mar 29, 2022
Ashwini Pokle, Jinjin Tian, Yuchen Li, Andrej Risteski

* Accepted for publication in the AISTATS 2022 conference (http://aistats.org/aistats2022/accepted.html

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions


Mar 27, 2022
Binghui Peng, Andrej Risteski


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Masked prediction tasks: a parameter identifiability view


Feb 18, 2022
Bingbin Liu, Daniel Hsu, Pradeep Ravikumar, Andrej Risteski


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods


Feb 17, 2022
Frederic Koehler, Holden Lee, Andrej Risteski

* 43 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization


Feb 14, 2022
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias


Dec 13, 2021
Frederic Koehler, Viraj Mehta, Andrej Risteski, Chenghui Zhou


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation


Oct 21, 2021
Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders


Jul 09, 2021
Divyansh Pareek, Andrej Risteski

* 34 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows


Jul 07, 2021
Holden Lee, Chirag Pabbaraju, Anish Sevekari, Andrej Risteski

* 40 pages, 0 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments


Jun 18, 2021
Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
>>