Emile Anand

According to our database, Emile Anand authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling.

Emile Anand, Ishani Karmarkar

CoRR, March, 2026

Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning.

Emile Anand, Richard Hoffmann, Sarah Liaw, Adam Wierman

CoRR, February, 2026

Unsupervised Decomposition and Recombination with Discriminator-Driven Diffusion Models.

Archer Wang, Emile Anand, Yilun Du, Marin Soljacic

CoRR, January, 2026

2025

Rankwidth of Graphs with Balanced Separations: Expansion for Dense Graphs.

Emile Anand

CoRR, November, 2025

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown.

Emile Anand, Sarah Liaw

CoRR, July, 2025

The Structural Complexity of Matrix-Vector Multiplication.

Emile Anand, Jan van den Brand, Rose McCarty

CoRR, February, 2025

Towards the Pseudorandomness of Expander Random Walks for Read-Once ACC0 circuits.

Emile Anand

CoRR, January, 2025

Peer-to-Peer Learning Dynamics of Wide Neural Networks.

Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning.

Emile Anand, Ishani Karmarkar, Guannan Qu

CoRR, 2024

Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale.

Emile Anand, Guannan Qu

CoRR, 2024

The Bit Complexity of Dynamic Algebraic Formulas and Their Determinants.

Emile Anand, Jan van den Brand, Mehrdad Ghadiri, Daniel J. Zhang

Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

Online Policy Optimization in Unknown Nonlinear Systems.

Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Pseudorandomness of the Sticky Random Walk.

Emile Anand, Chris Umans

CoRR, 2023

Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations.

Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Identifying Chemicals Through Dimensionality Reduction.

Emile Anand, Charles Steinhardt, Martin Hansen

CoRR, 2022