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Stefanie Jegelka

Massachusetts Institute of Technology

Contrastive Learning with Hard Negative Samples

Oct 09, 2020
Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka


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Graph Adversarial Networks: Protecting Information against Adversarial Attacks

Oct 07, 2020
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

* Our code is available at https://github.com/liaopeiyuan/GAL 

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How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks

Oct 01, 2020
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka


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Testing Determinantal Point Processes

Aug 09, 2020
Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka


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Estimating Generalization under Distribution Shifts via Domain-Invariant Representations

Jul 06, 2020
Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka

* International Conference on Machine Learning, 2020 
* arXiv admin note: text overlap with arXiv:1910.05804 

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Debiased Contrastive Learning

Jul 05, 2020
Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen, Antonio Torralba, Stefanie Jegelka


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IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method

Jun 11, 2020
Yossi Arjevani, Joan Bruna, Bugra Can, Mert Gürbüzbalaban, Stefanie Jegelka, Hongzhou Lin


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Distributionally Robust Bayesian Optimization

Mar 22, 2020
Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause

* Accepted at AISTATS 2020 

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Strength from Weakness: Fast Learning Using Weak Supervision

Feb 19, 2020
Joshua Robinson, Stefanie Jegelka, Suvrit Sra

* 21 pages, 8 figures 

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On Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions

Feb 16, 2020
Jingzhao Zhang, Hongzhou Lin, Stefanie Jegelka, Ali Jadbabaie, Suvrit Sra


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Generalization and Representational Limits of Graph Neural Networks

Feb 14, 2020
Vikas K. Garg, Stefanie Jegelka, Tommi Jaakkola


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On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions

Feb 09, 2020
Yossi Arjevani, Amit Daniely, Stefanie Jegelka, Hongzhou Lin


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Adaptive Sampling for Stochastic Risk-Averse Learning

Oct 28, 2019
Sebastian Curi, Kfir. Y. Levy, Stefanie Jegelka, Andreas Krause


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The Role of Embedding Complexity in Domain-invariant Representations

Oct 13, 2019
Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka


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Flexible Modeling of Diversity with Strongly Log-Concave Distributions

Jun 12, 2019
Joshua Robinson, Suvrit Sra, Stefanie Jegelka


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Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization

Jun 05, 2019
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber

* ACL 2019 

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What Can Neural Networks Reason About?

May 31, 2019
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka


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Minimizing approximately submodular functions

May 29, 2019
Marwa El Halabi, Stefanie Jegelka


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Distributionally Robust Optimization and Generalization in Kernel Methods

May 27, 2019
Matthew Staib, Stefanie Jegelka


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Learning Generative Models across Incomparable Spaces

May 15, 2019
Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka

* Proceedings of Machine Learning Research (PMLR), 97 (2019) 
* International Conference on Machine Learning (ICML) 

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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Dec 31, 2018
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti


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Adversarially Robust Optimization with Gaussian Processes

Nov 01, 2018
Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher

* Corrected typos 

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How Powerful are Graph Neural Networks?

Oct 01, 2018
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka


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Optimization as Estimation with Gaussian Processes in Bandit Settings

Aug 12, 2018
Zi Wang, Bolei Zhou, Stefanie Jegelka

* Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) 2016, Cadiz, Spain 

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Discrete Sampling using Semigradient-based Product Mixtures

Jul 09, 2018
Alkis Gotovos, Hamed Hassani, Andreas Krause, Stefanie Jegelka


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