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Author search results
Exact matches
- Akshay Agrawal — disambiguation page
- Akshay Agrawal 0001
Stanford University, Department of Electrical Engineering, CA, USA
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Publication search results
found 49 matches
- 2023
- Parth Nobel
, Akshay Agrawal, Stephen P. Boyd:
Computing tighter bounds on the n-queens constant via Newton's method. Optim. Lett. 17(5): 1229-1240 (2023) - Kanhaiya Sharma
, Deepak Parashar, Akshay Sangwan, Abhinav Vengali, Gouransh Agrawal:
Enhancing Online Job Posting Security: A Big Data Approach to Fraud Detection. ICCST 2023: 1-6 - Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy:
Statistical Learning under Heterogenous Distribution Shift. ICML 2023: 31800-31851 - Akshay Sethi, Sonia Gupta, Ayush Agarwal, Nancy Agrawal, Siddhartha Asthana:
Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. IJCNN 2023: 1-8 - 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: 1014-1022 - Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy:
Statistical Learning under Heterogenous Distribution Shift. CoRR abs/2302.13934 (2023) - Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd:
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. CoRR abs/2305.02573 (2023) - Ridam Pal, Sanjana S, Deepak Mahto, Kriti Agrawal, Gopal Mengi, Sargun Nagpal, Akshaya Devadiga, Tavpritesh Sethi:
Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States. CoRR abs/2306.13954 (2023) - 2022
- Sanat Agrawal, Akshay Jain:
Physical Modelling of Nanda Devi National Park, a Natural World Heritage Site, from GIS Data. Cartogr. Int. J. Geogr. Inf. Geovisualization 57(2): 179-194 (2022) - Maximilian Schaller
, Goran Banjac
, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato
, Stephen P. Boyd
:
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6: 2653-2658 (2022) - Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
:
Allocation of fungible resources via a fast, scalable price discovery method. Math. Program. Comput. 14(3): 593-622 (2022) - 2021
- Akshay Pilani
, Kritagya Mathur, Himanshu Agrawal
, Deeksha Chandola
, Vinay Anand Tikkiwal
, Arun Kumar
:
Contextual Bandit Approach-based Recommendation System for Personalized Web-based Services. Appl. Artif. Intell. 35(7): 489-504 (2021) - Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. Found. Trends Mach. Learn. 14(3): 211-378 (2021) - Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd:
Learning Convex Optimization Models. IEEE CAA J. Autom. Sinica 8(8): 1355-1364 (2021) - Akshay Rameshbhai Gupta, Jitendra Agrawal:
The multi-demeanor fusion based robust intrusion detection system for anomaly and misuse detection in computer networks. J. Ambient Intell. Humaniz. Comput. 12(1): 303-319 (2021) - Akshay Patidar
, Monica Sharma
, Rajeev Agrawal
, Kuldip Singh Sangwan
:
A Smart Contracts and Tokenization Enabled Permissioned Blockchain Framework for the Food Supply Chain. APMS (1) 2021: 228-235 - Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia
:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP 2021: 521-537 - Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. CoRR abs/2103.02559 (2021) - Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia:
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. CoRR abs/2104.00282 (2021) - Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR abs/2110.11927 (2021) - 2020
- Akshay Agrawal, Stephen P. Boyd:
Disciplined quasiconvex programming. Optim. Lett. 14(7): 1643-1657 (2020) - Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato
:
Learning Convex Optimization Control Policies. L4DC 2020: 361-373 - Ankush Chunn, Akshay Agrawal, Alok Naugarhiya:
An 8T TG-DTMOS Based Subthreshold SRAM Cell with Improved Write Ability and Access Times. VDAT 2020: 1-6 - Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd:
Learning Convex Optimization Models. CoRR abs/2006.04248 (2020) - Akshay Joshi, Ankit Agrawal, Sushmita Nair:
Art Style Classification with Self-Trained Ensemble of AutoEncoding Transformations. CoRR abs/2012.03377 (2020) - 2019
- Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined geometric programming. Optim. Lett. 13(5): 961-976 (2019) - Alok Kumar Mishra, Akshaya Kumar Patra, Ramachandra Agrawal, Siddhartha Behera, Kritibash Praharaj, Narayan Nahak
:
Comparative Analysis between SEPIC and Cuk Converter for Power Factor Correction. ICIT 2019: 42-46 - Akshaya Kumar Patra, Alok Kumar Mishra, Ramachandra Agrawal, Abhishek Kumar Patra, Lalit Mohan Satapathy, Sanjeeb Kumar Kar:
Self-Tuned PI Controller Design for Stabilizing and Trajectory Tracking of Inverted Pendulum. ICIT 2019: 53-58 - Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai:
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. SysML 2019 - Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. NeurIPS 2019: 9558-9570
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