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10/25/2022
In-context Reinforcement Learning with Algorithm Distillation
We propose Algorithm Distillation (AD), a method for distilling reinforc...
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06/07/2022
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs
Path-based methods are more appealing solutions than embedding methods f...
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02/11/2021
Higher Order Generalization Error for First Order Discretization of Langevin Diffusion
We propose a novel approach to analyze generalization error for discreti...
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02/21/2019
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise
The choice of batch-size in a stochastic optimization algorithm plays a ...
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10/31/2018
A general system of differential equations to model first order adaptive algorithms
First order optimization algorithms play a major role in large scale mac...
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07/05/2018
Scalable Recommender Systems through Recursive Evidence Chains
Recommender systems can be formulated as a matrix completion problem, pr...
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10/30/2017