Differentially Private Stochastic Coordinate Descent
- Georgios Damaskinos
- Celestine Mendler-Dünner
- et al.
- 2021
- AAAI 2021
Conference paper
Publications
Learning Prediction Intervals for Model Performance
- Benjamin Elder
- Matthew Arnold
- et al.
- 2021
- AAAI 2021
Conference paperDecentralized policy gradient descent ascent for safe multi-agent reinforcement learning
- Songtao Lu
- Kaiqing Zhang
- et al.
- 2021
- AAAI 2021
Conference paperA Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
- Maxwell Crouse
- Ibrahim Abdelaziz
- et al.
- 2021
- AAAI 2021
Conference paperSelf-Progressing Robust Training
- Minhao Cheng
- Pin-Yu Chen
- et al.
- 2021
- AAAI 2021
Conference paperAnomaly Attribution with Likelihood Compensation
- 2021
- AAAI 2021
Conference paperCurse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
- Syed Zawad
- Ahsan Ali
- et al.
- 2021
- AAAI 2021
Conference paperAdaptive Verifiable Training Using Pairwise Class Similarity
- Shiqi Wang
- Kevin Eykholt
- et al.
- 2021
- AAAI 2021
Conference paperSecond Order Techniques for Learning Time-Series with Structural Breaks
- 2021
- AAAI 2021
Conference paperTemporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
- Nam Nguyen
- Brian Quanz
- 2021
- AAAI 2021
Conference paper