Publications

Learning Prediction Intervals for Model Performance
- - Benjamin Elder
  - Matthew Arnold
  - et al.
- 2021
- AAAI 2021
Conference paper
Decentralized policy gradient descent ascent for safe multi-agent reinforcement learning
- - Songtao Lu
  - Kaiqing Zhang
  - et al.
- 2021
- AAAI 2021
Conference paper
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
- - Maxwell Crouse
  - Ibrahim Abdelaziz
  - et al.
- 2021
- AAAI 2021
Conference paper
Self-Progressing Robust Training
- - Minhao Cheng
  - Pin-Yu Chen
  - et al.
- 2021
- AAAI 2021
Conference paper
Anomaly Attribution with Likelihood Compensation
- - Tsuyoshi Ide
  - Amit Dhurandhar
  - et al.
- 2021
- AAAI 2021
Conference paper
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
- - Syed Zawad
  - Ahsan Ali
  - et al.
- 2021
- AAAI 2021
Conference paper
Adaptive Verifiable Training Using Pairwise Class Similarity
- - Shiqi Wang
  - Kevin Eykholt
  - et al.
- 2021
- AAAI 2021
Conference paper
Second Order Techniques for Learning Time-Series with Structural Breaks
- - Takayuki Osogami
- 2021
- AAAI 2021
Conference paper
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
- - Nam Nguyen
  - Brian Quanz
- 2021
- AAAI 2021
Conference paper
Neural Analogical Matching
- - Maxwell Crouse
  - Constantine Nakos
  - et al.
- 2021
- AAAI 2021
Conference paper