Akshay Soni

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 28

Top Topics

Fundamental Limits

Multilabel Classification

Matrix Completion

Top Venues

IEEE Trans. Inf. Theory

Publications

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
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM (2023)
Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
Personalized Retrieval over Millions of Items. SIGIR (2023)
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
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR (2022)
Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana
Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective. WWW (2021)
Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. CoRR (2021)
Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR (2021)
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. CoRR (2021)
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM (2021)
Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
Towards Explainable Conversational Recommendation. IJCAI (2020)
Iyad Batal, Akshay Soni
Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising. CoRR (2020)
Arpita Gang, Pravesh Biyani, Akshay Soni
Towards Automated Single Channel Source Separation using Neural Networks. CoRR (2018)
Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski
Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. WWW (Companion Volume) (2018)
Arpita Gang, Pravesh Biyani, Akshay Soni
Towards Automated Single Channel Source Separation Using Neural Networks. INTERSPEECH (2018)
Thanh V. Nguyen, Akshay Soni, Chinmay Hegde
On Learning Sparsely Used Dictionaries from Incomplete Samples. ICML (2018)
Thanh V. Nguyen, Akshay Soni, Chinmay Hegde
On Learning Sparsely Used Dictionaries from Incomplete Samples. CoRR (2018)
Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. CoRR (2017)
Parikshit Shah, Akshay Soni, Troy Chevalier
Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping. KDD (2017)
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. FLAIRS Conference (2017)
Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad
Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR (2017)
Akshay Soni, Yashar Mehdad
RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning. FLAIRS Conference (2017)
Akshay Soni, Yashar Mehdad
RIPML: A Restricted Isometry Property based Approach to Multilabel Learning. CoRR (2017)
Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni, Troy Chevalier
Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches. IJCNLP(2) (2017)
Akshay Soni, Troy Chevalier, Swayambhoo Jain
Noisy inductive matrix completion under sparse factor models. ISIT (2017)
Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. Rep4NLP@ACL (2017)
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. CoRR (2017)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory 62 (6) (2016)
Dhananjay Kimothi, Akshay Soni, Pravesh Biyani, James M. Hogan
Distributed Representations for Biological Sequence Analysis. CoRR (2016)
Akshay Soni, Troy Chevalier, Swayambhoo Jain
Noisy Inductive Matrix Completion Under Sparse Factor Models. CoRR (2016)
Soumyava Das, Akshay Soni, Ashok Venkatesan, Debora Donato
Organic vs. Sponsored Content: From Ads to Native Ads. WI-IAT (3) (2015)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Noisy Matrix Completion under Sparse Factor Models. CoRR (2014)
Akshay Soni, Jarvis D. Haupt
Estimation error guarantees for Poisson denoising with sparse and structured dictionary models. ISIT (2014)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Error bounds for maximum likelihood matrix completion under sparse factor models. GlobalSIP (2014)
Akshay Soni, Jarvis D. Haupt, Fatih Porikli
Recycled linear classifiers for multiclass classification. ICASSP (2014)
Akshay Soni, Jarvis D. Haupt
On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements. IEEE Trans. Inf. Theory 60 (1) (2014)
Akshay Soni, Jarvis D. Haupt
Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples. GlobalSIP (2013)
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach. CoRR (2013)
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. ACSSC (2013)
Akshay Soni, Jarvis D. Haupt
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements. CoRR (2013)
Akshay Soni, Jarvis D. Haupt
Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization CoRR (2012)
Akshay Soni, Jarvis D. Haupt
Level set estimation from compressive measurements using box constrained total variation regularization. ICIP (2012)
Akshay Soni, Jarvis D. Haupt
Learning sparse representations for adaptive compressive sensing. ICASSP (2012)
Akshay Soni, Jarvis D. Haupt
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries CoRR (2011)
Akshay Soni, Jarvis D. Haupt
Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries. ACSCC (2011)
Akshay Soni, Tanvi Sharma, Vijaykumar Chakka
Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems. IEICE Trans. Commun. (10) (2010)