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07/20/2023
Differences Between Hard and Noisy-labeled Samples: An Empirical Study
Extracting noisy or incorrectly labeled samples from a labeled dataset w...
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06/01/2023
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
Hierarchical clustering of networks consists in finding a tree of commun...
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05/31/2023
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Bayesian Optimization (BO) is typically used to optimize an unknown func...
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12/08/2022
Leveraging Unlabeled Data to Track Memorization
Deep neural networks may easily memorize noisy labels present in real-wo...
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05/25/2022
Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions
We study the performance of Stochastic Cubic Regularized Newton (SCRN) o...
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05/17/2022
Adaptive Momentum-Based Policy Gradient with Second-Order Information
The variance reduced gradient estimators for policy gradient methods has...
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07/14/2021
Disparity Between Batches as a Signal for Early Stopping
We propose a metric for evaluating the generalization ability of deep ne...
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07/30/2020
Generalization Comparison of Deep Neural Networks via Output Sensitivity
Although recent works have brought some insights into the performance im...
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02/18/2020
Noisy source location on a line
We study the problem of locating the source of an epidemic diffusion pro...
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11/26/2019
A User Study of Perceived Carbon Footprint
We propose a statistical model to understand people's perception of thei...
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11/01/2019
Learning Hawkes Processes from a Handful of Events
Learning the causal-interaction network of multivariate Hawkes processes...
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10/22/2019
Sequential metric dimension for random graphs
In the localization game, the goal is to find a fixed but unknown target...
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12/08/2017
Stochastic Dual Coordinate Descent with Bandit Sampling
Coordinate descent methods minimize a cost function by updating a single...
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08/08/2017
Stochastic Optimization with Bandit Sampling
Many stochastic optimization algorithms work by estimating the gradient ...
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12/09/2015