Akshay Soni

According to our database, Akshay Soni authored at least 31 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

NGAME: Negative Mining-aware Mini-batching for Extreme Classification.

Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Personalized Retrieval over Millions of Items.

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2021

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.

Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie

CoRR, 2021

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.

Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie

CoRR, 2021

Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective.

Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana

Proceedings of the WWW '21: The Web Conference 2021, 2021

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents.

Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma

Proceedings of the WSDM '21, 2021

2020

Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising.

Iyad Batal, Akshay Soni

CoRR, 2020

Towards Explainable Conversational Recommendation.

Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization.

Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Towards Automated Single Channel Source Separation Using Neural Networks.

Arpita Gang, Pravesh Biyani, Akshay Soni

Proceedings of the Interspeech 2018, 2018

On Learning Sparsely Used Dictionaries from Incomplete Samples.

Thanh Van Nguyen, Akshay Soni, Chinmay Hegde

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Rank-to-engage: New Listwise Approaches to Maximize Engagement.

Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad

CoRR, 2017

DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging.

Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping.

Parikshit Shah, Akshay Soni, Troy Chevalier

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Noisy inductive matrix completion under sparse factor models.

Akshay Soni, Troy Chevalier, Swayambhoo Jain

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches.

Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni, Troy Chevalier

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning.

Akshay Soni, Yashar Mehdad

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem.

Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

Noisy Matrix Completion Under Sparse Factor Models.

Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella

IEEE Trans. Inf. Theory, 2016

Distributed Representations for Biological Sequence Analysis.

Dhananjay Kimothi, Akshay Soni, Pravesh Biyani, James M. Hogan

CoRR, 2016

2015

Organic vs. Sponsored Content: From Ads to Native Ads.

Soumyava Das, Akshay Soni, Ashok Venkatesan, Debora Donato

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014

On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements.

Akshay Soni, Jarvis D. Haupt

IEEE Trans. Inf. Theory, 2014

Estimation error guarantees for Poisson denoising with sparse and structured dictionary models.

Akshay Soni, Jarvis D. Haupt

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Recycled linear classifiers for multiclass classification.

Akshay Soni, Jarvis D. Haupt, Fatih Porikli

Proceedings of the IEEE International Conference on Acoustics, 2014

Error bounds for maximum likelihood matrix completion under sparse factor models.

Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples.

Akshay Soni, Jarvis D. Haupt

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach.

Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Level set estimation from compressive measurements using box constrained total variation regularization.

Akshay Soni, Jarvis D. Haupt

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Learning sparse representations for adaptive compressive sensing.

Akshay Soni, Jarvis D. Haupt

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries.

Akshay Soni, Jarvis D. Haupt

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems.

Akshay Soni, Tanvi Sharma, Vijaykumar Chakka

IEICE Trans. Commun., 2010