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08/01/2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
Finding a high-quality feasible solution to a combinatorial optimization...
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12/22/2021
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Reinforcement learning has recently shown promise in learning quality so...
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05/16/2020
Tiering as a Stochastic Submodular Optimization Problem
Tiering is an essential technique for building large-scale information r...
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11/13/2019
Robustness to Capitalization Errors in Named Entity Recognition
Robustness to capitalization errors is a highly desirable characteristic...
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07/19/2017
Deep Active Learning for Named Entity Recognition
Deep neural networks have advanced the state of the art in named entity ...
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04/16/2016
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression
Scaling multinomial logistic regression to datasets with very large numb...
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06/09/2015
WordRank: Learning Word Embeddings via Robust Ranking
Embedding words in a vector space has gained a lot of attention in recen...
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02/11/2014
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data
We propose RoBiRank, a ranking algorithm that is motivated by observing ...
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02/27/2012
Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
We introduce a novel and efficient sampling algorithm for the Multiplica...
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10/24/2011