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07/06/2023
When Does Confidence-Based Cascade Deferral Suffice?
Cascades are a classical strategy to enable inference cost to vary adapt...
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06/21/2022
Ensembling over Classifiers: a Bias-Variance Perspective
Ensembles are a straightforward, remarkably effective method for improvi...
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02/08/2022
Understanding the bias-variance tradeoff of Bregman divergences
This paper builds upon the work of Pfau (2013), which generalized the bi...
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11/03/2020
Estimating decision tree learnability with polylogarithmic sample complexity
We show that top-down decision tree learning heuristics are amenable to ...
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10/16/2020
Universal guarantees for decision tree induction via a higher-order splitting criterion
We propose a simple extension of top-down decision tree learning heurist...
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10/04/2020
Inapproximability for Local Correlation Clustering and Dissimilarity Hierarchical Clustering
We present hardness of approximation results for Correlation Clustering ...
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09/23/2020
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
NIDSs identify malicious activities by analyzing network traffic. NIDSs ...
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09/07/2020
Projections for COVID-19 spread in India and its worst affected five states using the Modified SEIRD and LSTM models
The last leg of the year 2019 gave rise to a virus named COVID-19 (Coron...
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08/31/2020
Active Local Learning
In this work we consider active local learning: given a query point x, a...
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08/13/2020
Fractional Poisson Processes of Order K
In this article, we introduce and study time- and space-fractional Poiss...
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04/19/2019
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
We consider deep networks, trained via stochastic gradient descent to mi...
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11/27/2018
