35 citations · 243 across the 61 of their papers we have counts for
3 papers · 1 filter
A Distributed Newton Method for Large Scale Consensus Optimization
Rasul Tutunov, Haitham Bou Ammar, Ali Jadbabaie
In this paper, we propose a distributed Newton method for consensus optimization. Our approach outperforms state-of-the-art methods, including ADMM. The key idea is to exploit the…
Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer
Yusen Zhan, Haitham Bou Ammar, Matthew E. taylor
Policy advice is a transfer learning method where a student agent is able to learn faster via advice from a teacher. However, both this and other reinforcement learning transfer me…
Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines
Decebal Constantin Mocanu, Haitham Bou Ammar, Luis Puig +2
Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficult pro…