157 citations · 713 across the 56 of their papers we have counts for
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cs.LG2021
Robustness and risk management via distributional dynamic programming
Mastane Achab, Gergely Neu
In dynamic programming (DP) and reinforcement learning (RL), an agent learns to act optimally in terms of expected long-term return by sequentially interacting with its environment…
cs.LG2021
Learning to maximize global influence from local observations
Gábor Lugosi, Gergely Neu, Julia Olkhovskaya
We study a family online influence maximization problems where in a sequence of rounds , a decision maker selects one from a large number of agents with the goal of m…
cs.LG2021★ 8 cited
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent
Gergely Neu, Gintare Karolina Dziugaite, Mahdi Haghifam +1
We study the generalization properties of the popular stochastic optimization method known as stochastic gradient descent (SGD) for optimizing general non-convex loss functions. Ou…