no code implementations • EMNLP 2021 • Harsh Gupta, Luciano del Corro, Samuel Broscheit, Johannes Hoffart, Eliot Brenner
We investigate post-OCR correction in a setting where we have access to different OCR views of the same document.
no code implementations • 4 Oct 2022 • Sushant Lenka, Pratyush Kerhalkar, Pranav Shetty, Harsh Gupta, Bhavam Vidyarthi, Ujjwal Verma
This work proposes two approaches for identifying flooded regions in UAV aerial images.
1 code implementation • 17 Nov 2020 • Joseph Lubars, Harsh Gupta, Sandeep Chinchali, Liyun Li, Adnan Raja, R. Srikant, Xinzhou Wu
We consider the problem of designing an algorithm to allow a car to autonomously merge on to a highway from an on-ramp.
1 code implementation • NeurIPS 2020 • Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant
In this paper, we establish a theoretical comparison between the asymptotic mean-squared error of Double Q-learning and Q-learning.
no code implementations • 30 Jun 2020 • Harsh Gupta, Mason A. Porter
We also illustrate how to use the RC model to accurately study network formation using both synthetic and real-world networks.
1 code implementation • NeurIPS 2019 • Harsh Gupta, R. Srikant, Lei Ying
We study two time-scale linear stochastic approximation algorithms, which can be used to model well-known reinforcement learning algorithms such as GTD, GTD2, and TDC.
no code implementations • 25 Jan 2019 • Harsh Gupta, Seo Taek Kong, R. Srikant, Weina Wang
In this paper, we show that a simple modification to Boltzmann exploration, motivated by a variation of the standard doubling trick, achieves $O(K\log^{1+\alpha} T)$ regret for a stochastic MAB problem with $K$ arms, where $\alpha>0$ is a parameter of the algorithm.
no code implementations • 12 Sep 2017 • Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy
The objective of this work is then to measure the effectiveness of an advertisement, and to recommend a useful set of features to advertisement designers to make it more successful and approachable to users.