Publications

97 results at NeurIPS 2022

Influencing Long-Term Behavior in Multiagent Reinforcement Learning
- - Dong Ki Kim
  - Matthew Riemer
  - et al.
- 2022
- NeurIPS 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- - Krishnateja Killamsetty
  - Guttu Sai Abhishek
  - et al.
- 2022
- NeurIPS 2022
Redeeming Intrinsic Rewards via Constrained Optimization
- - Eric Chen
  - Zhang-Wei Hong
  - et al.
- 2022
- NeurIPS 2022
Convergent Representations of Computer Programs in Human and Artificial Neural Networks
- - Shashank Srikant
  - Benjamin Lipkin
  - et al.
- 2022
- NeurIPS 2022
Distributionally Adaptive Meta Reinforcement Learning
- - Anurag Ajay
  - Abhishek Gupta
  - et al.
- 2022
- NeurIPS 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
- - Aleksandros Sobczyk
  - Mathieu Luisier
- 2022
- NeurIPS 2022
GREED: A Neural Framework for Learning Graph Distance Functions
- - Rishabh Ranjan
  - Siddharth Grover
  - et al.
- 2022
- NeurIPS 2022
FETA: Towards Specializing Foundational Models for Expert Task Applications
- - Amit Alfassy
  - Assaf Arbelle
  - et al.
- 2022
- NeurIPS 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models
- - Debarun Bhattacharjya
  - Radu Marinescu
- 2022
- NeurIPS 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- - Prasanna Sattigeri
  - Soumya Ghosh
  - et al.
- 2022
- NeurIPS 2022