Emile Anand

17 papers A* 3Misc 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning.
CoRR
Emile Anand, Richard Hoffmann, Sarah Liaw, Adam Wierman
2026 J jnl
Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling.
CoRR
Emile Anand, Ishani Karmarkar
2026 J jnl
Unsupervised Decomposition and Recombination with Discriminator-Driven Diffusion Models.
CoRR
Archer Wang, Emile Anand, Yilun Du, Marin Soljacic
2025 J jnl
Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown.
CoRR
Emile Anand, Sarah Liaw
2025 Misc conf
Peer-to-Peer Learning Dynamics of Wide Neural Networks.
ICASSP
Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura
2025 J jnl
Rankwidth of Graphs with Balanced Separations: Expansion for Dense Graphs.
CoRR
Emile Anand
2025 J jnl
The Structural Complexity of Matrix-Vector Multiplication.
CoRR
Emile Anand, Jan van den Brand, Rose McCarty
2025 J jnl
Towards the Pseudorandomness of Expander Random Walks for Read-Once ACC0 circuits.
CoRR
Emile Anand
2024 J jnl
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale.
CoRR
Emile Anand, Guannan Qu
2024 J jnl
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Emile Anand, Ishani Karmarkar, Guannan Qu
2024 A* conf
Online Policy Optimization in Unknown Nonlinear Systems.
COLT
Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
2024 J jnl
Peer-to-Peer Learning Dynamics of Wide Neural Networks.
CoRR
Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura
2024 A* conf
The Bit Complexity of Dynamic Algebraic Formulas and Their Determinants.
ICALP
Emile Anand, Jan van den Brand, Mehrdad Ghadiri, Daniel J. Zhang
2024 J jnl
The Bit Complexity of Dynamic Algebraic Formulas and their Determinants.
CoRR
Emile Anand, Jan van den Brand, Mehrdad Ghadiri, Daniel J. Zhang
2023 A* conf
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations.
NeurIPS
Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
2023 J jnl
Pseudorandomness of the Sticky Random Walk.
CoRR
Emile Anand, Chris Umans
2022 J jnl
Identifying Chemicals Through Dimensionality Reduction.
CoRR
Emile Anand, Charles Steinhardt, Martin Hansen