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05/28/2021
Weighted Training for Cross-Task Learning
In this paper, we introduce Target-Aware Weighted Training (TAWT), a wei...
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06/13/2019
Variance Estimation For Online Regression via Spectrum Thresholding
We consider the online linear regression problem, where the predictor ve...
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12/17/2018
Multi Instance Learning For Unbalanced Data
In the context of Multi Instance Learning, we analyze the Single Instanc...
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03/28/2018
A Better Resource Allocation Algorithm with Semi-Bandit Feedback
We study a sequential resource allocation problem between a fixed number...
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03/08/2018
Efficient Loss-Based Decoding On Graphs For Extreme Classification
In extreme classification problems, learning algorithms are required to ...
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02/23/2017
Rotting Bandits
The Multi-Armed Bandits (MAB) framework highlights the tension between a...
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10/30/2015
CONQUER: Confusion Queried Online Bandit Learning
We present a new recommendation setting for picking out two items from a...
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05/26/2015
Belief Flows of Robust Online Learning
This paper introduces a new probabilistic model for online learning whic...
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11/17/2014
Outlier-Robust Convex Segmentation
We derive a convex optimization problem for the task of segmenting seque...
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04/12/2013
Advice-Efficient Prediction with Expert Advice
Advice-efficient prediction with expert advice (in analogy to label-effi...
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03/01/2013
Second-Order Non-Stationary Online Learning for Regression
The goal of a learner, in standard online learning, is to have the cumul...
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06/27/2012
Discriminative Learning via Semidefinite Probabilistic Models
Discriminative linear models are a popular tool in machine learning. The...
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06/18/2012
