I am a final year doctoral researcher in Computer Science at
Université Jean Monnet, Saint-Etienne.
I work under the guidance of Prof. Massih-Reza Amini at LIG, Grenoble
and Dr. Emilie Morvant at LIG, Grenoble and LaHC, CNRS, Saint-Etienne.
I am currently working on Multiview Learning using PAC-Bayesian and Boosting based approaches.This project is funded by the Rhône-Alpes Region, France. Also, I am actively involved in ANR LIVES Project.
I did my Masters in Computer Science from ENSIMAG, Grenoble INP, France (2014-2015). You can find more information in my CV.
Multiview Learning, PAC-Bayes Bounds, Domain Adaptation, Transfer Learning and Information Retrieval.
As a part of Data Science team, I worked on aggregation and categorization of news articles from different sources for the Neon News Android Application.
I did my Masters thesis at AMA team, LIG, Grenoble under the guidance of Prof. Massih-Reza Amini. The topic of my thesis was "Transferring knowledge from a labeled source collection to learn IR functions on an unlabeled target collection".
I worked on Cheque Fraud Detection for Punjab National Bank, India. This project was in collabration with Dr. Gaurav Gupta at IIIT, Delhi, India.
I worked under the guidance of Prof. Arun K. Pujari. and worked on problem of finding the number of clusters in short text documents using Ncut-term weighing scheme and spectral clustering.
Selected to participate in 4 day Google AdCamp taught by Google sales leaders providing in-depth introduction to the Google's advertising sales operations and client products (including AdWords, YouTube, and Mobile)
I worked at INMAS Laboratory, Delhi . I designed and developed an interactive intranet portal for leave management system and document dispatch system.
Member of ANR LIVES Project. (Jan, 2016-present)
Database Management Course at The LNMIIT, Jaipur (Jan-May,2013 and Jan-May,2012)
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini, "PAC-Bayesian Analysis for a two-step Hierarchical Mutliview Learning Approach", European Conference on Machine Learning & Principles and Pratice of Knowledge Discovery in Databases (ECML-PKDD), 2017, Skopje, Macedonia. [ Research Report arXiv:1606.07240 ]
Anil Goyal, Emilie Morvant, Pascal Germain, "Une borne PAC-Bayésienne en espérance et son extension à l'apprentissage multivues", French Conference on Machine Learning (CAp), 2017, Grenoble, France.
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini, "Théorèmes PAC-Bayésiens pour l'apprentissage multi-vues", French Conference on Machine Learning (CAp), 2016, Marseille, France.
Anil Goyal, Georgios Balikas, Parantapa Goswami, Massih-Reza Amini, Eric Gaussier, "Transfer Learning for IR Model Parameter Tuning", French Conference on Machine Learning (CAp), 2015, Lille, France.
Anil Goyal, Mukesh K Jadon, Arun K Pujari, "Spectral Approach to find Number of Clusters of Short-text Documents", National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013, Jodhpur, India
Laboratoire LIG, Bâtiment IMAG ,
700 avenue Centrale, Campus of Saint-Martin-d’Hères
38058 Grenoble cedex 9, France