Publications

Predicting Deep Neural Network Generalization with Perturbation Response Curves
- - Yair Schiff
  - Brian Quanz
  - et al.
- 2021
- NeurIPS 2021
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
- - Kuniaki Saito
  - Donghyun Kim
  - et al.
- 2021
- NeurIPS 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
- - Mattia Atzeni
  - Jasmina Bogojeska
  - et al.
- 2021
- NeurIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks
- - Jihun Yun
  - Aurelie Lozano
  - et al.
- 2021
- NeurIPS 2021
Post-processing for Individual Fairness
- - Felix Petersen
  - Debarghya Mukherjee
  - et al.
- 2021
- NeurIPS 2021
On the (in)security of ElGamal in OpenPGP
- - Luca De Feo
  - Bertram Poettering
  - et al.
- 2021
- CCS 2021
Faster Lattice-Based KEMs via a Generic Fujisaki-Okamoto Transform Using Prefix Hashing
- - Julien Duman
  - Kathrin Hövelmanns
  - et al.
- 2021
- CCS 2021
Iter8: Online Experimentation in the Cloud
- - Mert Toslali
  - Srinivasan Parthasarathy
  - et al.
- 2021
- SoCC 2021
Pipeline Combinators for Gradual AutoML
- - Guillaume Baudart
  - Martin Hirzel
  - et al.
- 2021
- NeurIPS 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
- - Quoc Tran-Dinh
  - Nhan Pham
  - et al.
- 2021
- NeurIPS 2021