57 citations · 101 across the 6 of their papers we have counts for
7 papers
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Lucy Liao, Xing Liu +9
Large-scale recommendation systems are characterized by their reliance on high cardinality, heterogeneous features and the need to handle tens of billions of user actions on a dail…
Synthesis of Stabilizing Recurrent Equilibrium Network Controllers
Neelay Junnarkar, He Yin, Fangda Gu +2
We propose a parameterization of a nonlinear dynamic controller based on the recurrent equilibrium network, a generalization of the recurrent neural network. We derive constraints…
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
Fangda Gu, He Yin, Laurent El Ghaoui +3
Neural network controllers have become popular in control tasks thanks to their flexibility and expressivity. Stability is a crucial property for safety-critical dynamical systems,…
Implicit Graph Neural Networks
Fangda Gu, Heng Chang, Wenwu Zhu +2
Graph Neural Networks (GNNs) are widely used deep learning models that learn meaningful representations from graph-structured data. Due to the finite nature of the underlying recur…
Implicit Deep Learning
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca +2
Implicit deep learning prediction rules generalize the recursive rules of feedforward neural networks. Such rules are based on the solution of a fixed-point equation involving a si…
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
Fangda Gu, Armin Askari, Laurent El Ghaoui
Despite the recent successes of deep neural networks, the corresponding training problem remains highly non-convex and difficult to optimize. Classes of models have been proposed t…
Context-Aware Policy Reuse
Siyuan Li, Fangda Gu, Guangxiang Zhu +1
Transfer learning can greatly speed up reinforcement learning for a new task by leveraging policies of relevant tasks. Existing works of policy reuse either focus on only selecting…