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, Massih-Reza Amini, "Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization", Intelligent Data Analysis, 2018, 's-Hertogenbosch, the Netherlands. [ Research Report arXiv:1805.10212 ]
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, Massih-Reza Amini, "Une borne Apprentissage d’un vote de majorité hiérarchique pour l’apprentissage multivue", French Conference on Machine Learning (CAp), 2018, Rouen, France.
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