Ted Moskovitz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
3
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Strategy Coopetition Explains the Emergence and Transience of In-Context Learning. | Aaditya K. Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe |
| 2024 | ICLR | Confronting Reward Model Overoptimization with Constrained RLHF. | Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer |
| 2024 | ICML | What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation. | Aaditya K. Singh, Ted Moskovitz, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe |
| 2023 | ICLR | Minimum Description Length Control. | Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani, Matt M. Botvinick |
| 2023 | ICML | ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. | Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy |
| 2022 | AISTATS | Towards an Understanding of Default Policies in Multitask Policy Optimization. | Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano |
| 2022 | ICLR | A First-Occupancy Representation for Reinforcement Learning. | Ted Moskovitz, Spencer R. Wilson, Maneesh Sahani |
| 2021 | ICLR | Efficient Wasserstein Natural Gradients for Reinforcement Learning. | Ted Moskovitz, Michael Arbel, Ferenc Huszar, Arthur Gretton |