Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems. - Akshay Soni; Tanvi Sharma; Vijaykumar Chakka (IEICE Trans. Commun., 2010)

Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries. - Akshay Soni; Jarvis D. Haupt (ACSCC, 2011)

Learning sparse representations for adaptive compressive sensing. - Akshay Soni; Jarvis D. Haupt (ICASSP, 2012)

Level set estimation from compressive measurements using box constrained total variation regularization. - Akshay Soni; Jarvis D. Haupt (ICIP, 2012)

Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. - Swayambhoo Jain; Akshay Soni; Jarvis D. Haupt (ACSSC, 2013)

Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples. - Akshay Soni; Jarvis D. Haupt (GlobalSIP, 2013)

Error bounds for maximum likelihood matrix completion under sparse factor models. - Akshay Soni; Swayambhoo Jain; Jarvis D. Haupt; Stefano Gonella (GlobalSIP, 2014)

Recycled linear classifiers for multiclass classification. - Akshay Soni; Jarvis D. Haupt; Fatih Porikli (ICASSP, 2014)

Estimation error guarantees for Poisson denoising with sparse and structured dictionary models. - Akshay Soni; Jarvis D. Haupt (ISIT, 2014)

On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements. - Akshay Soni; Jarvis D. Haupt (IEEE Trans. Inf. Theory, 2014)

Organic vs. Sponsored Content: From Ads to Native Ads. - Soumyava Das; Akshay Soni; Ashok Venkatesan; Debora Donato (WI-IAT (3), 2015)

Distributed Representations for Biological Sequence Analysis. - Dhananjay Kimothi; Akshay Soni; Pravesh Biyani; James M. Hogan (CoRR, 2016)

Noisy Matrix Completion Under Sparse Factor Models. - Akshay Soni; Swayambhoo Jain; Jarvis D. Haupt; Stefano Gonella (IEEE Trans. Inf. Theory, 2016)

Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. - Jeya Balaji Balasubramanian; Akshay Soni; Yashar Mehdad; Nikolay Laptev (FLAIRS, 2017)

RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning. - Akshay Soni; Yashar Mehdad (FLAIRS, 2017)

Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches. - Akshay Soni; Aasish Pappu; Jerry Chia-mau Ni; Troy Chevalier (IJCNLP(2), 2017)

Noisy inductive matrix completion under sparse factor models. - Akshay Soni; Troy Chevalier; Swayambhoo Jain (ISIT, 2017)

Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping. - Parikshit Shah; Akshay Soni; Troy Chevalier (KDD, 2017)

DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. - Sheng Chen; Akshay Soni; Aasish Pappu; Yashar Mehdad (Rep4NLP@ACL, 2017)

Rank-to-engage: New Listwise Approaches to Maximize Engagement. - Swayambhoo Jain; Akshay Soni; Nikolay Laptev; Yashar Mehdad (CoRR, 2017)

On Learning Sparsely Used Dictionaries from Incomplete Samples. - Thanh Van Nguyen; Akshay Soni; Chinmay Hegde (ICML, 2018)

Towards Automated Single Channel Source Separation Using Neural Networks. - Arpita Gang; Pravesh Biyani; Akshay Soni (INTERSPEECH, 2018)

Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. - Akshay Soni; Aasish Pappu; Róbert Busa-Fekete; Krzysztof Dembczynski (WWW (Companion Volume), 2018)

Towards Explainable Conversational Recommendation. - Zhongxia Chen; Xiting Wang; Xing Xie 001; Mehul Parsana; Akshay Soni; Xiang Ao 001; Enhong Chen (IJCAI, 2020)

Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising. - Iyad Batal; Akshay Soni (CoRR, 2020)

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. - Kunal Dahiya; Deepak Saini; Anshul Mittal; Ankush Shaw; Kushal Dave 001; Akshay Soni; Himanshu Jain; Sumeet Agarwal; Manik Varma (WSDM, 2021)

Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective. - Paul Liu 001; Akshay Soni; Eun Yong Kang; Yajun Wang 001; Mehul Parsana (WWW, 2021)

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. - Jianxun Lian; Iyad Batal; Zheng Liu 011; Akshay Soni; Eun Yong Kang; Yajun Wang 001; Xing Xie 001 (CoRR, 2021)

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. - Junhan Yang; Zheng Liu 011; Bowen Jin; Jianxun Lian; Defu Lian; Akshay Soni; Eun Yong Kang; Yajun Wang 001; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

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 (SIGIR, 2023)

NGAME: Negative Mining-aware Mini-batching for Extreme Classification. - Kunal Dahiya; Nilesh Gupta; Deepak Saini; Akshay Soni; Yajun Wang; Kushal Dave 001; Jian Jiao 007; Gururaj K; Prasenjit Dey; Amit Singh 003; Deepesh Hada; Vidit Jain; et al. (WSDM, 2023)