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Publication search results
found 16 matches
- 2024
- Daniel Dadush, Akshay Ramachandran:
Strongly Polynomial Frame Scaling to High Precision. SODA 2024: 962-981 - Daniel Dadush, Akshay Ramachandran:
Strongly Polynomial Frame Scaling to High Precision. CoRR abs/2402.04799 (2024) - 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. WSDM 2023: 258-266 - 2022
- 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 abs/2207.04452 (2022) - 2021
- Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran:
Spectral Analysis of Matrix Scaling and Operator Scaling. SIAM J. Comput. 50(3): 1034-1102 (2021) - Akshay Pillai
, Vishal Saraswat, Arunkumar Vasanthakumary Ramachandran:
Attacks on Blockchain Based Digital Identity. BLOCKCHAIN 2021: 329-338 - Akshay Pillai
, Vishal Saraswat
, Arunkumar Vasanthakumary Ramachandran:
Protection Guidelines for Blockchain Based Digital Identity. HIS 2021: 636-646 - Cole Franks, Rafael Mendes de Oliveira, Akshay Ramachandran, Michael Walter:
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity. CoRR abs/2110.07583 (2021) - 2019
- Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran:
Spectral Analysis of Matrix Scaling and Operator Scaling. FOCS 2019: 1184-1204 - Akshay Pillai
, Vishal Saraswat
, Arunkumar V. R.:
Smart Wallets on Blockchain - Attacks and Their Costs. iSCI 2019: 649-660 - Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran:
Spectral analysis of matrix scaling and operator scaling. CoRR abs/1904.03213 (2019) - 2018
- Nishant Rao, Akshay Ramachandran, Amish Shah:
MLNoC: A Machine Learning Based Approach to NoC Design. SBAC-PAD 2018: 1-8 - Tsz Chiu Kwok, Lap Chi Lau, Yin Tat Lee, Akshay Ramachandran:
The Paulsen problem, continuous operator scaling, and smoothed analysis. STOC 2018: 182-189 - 2017
- Akshay Ramachandran, Aaron Schild:
Sandpile prediction on a tree in near linear time. SODA 2017: 1115-1131 - Tsz Chiu Kwok, Lap Chi Lau, Yin Tat Lee, Akshay Ramachandran:
The Paulsen Problem, Continuous Operator Scaling, and Smoothed Analysis. CoRR abs/1710.02587 (2017) - 2013
- Vidya N. Murali, Anthony Threatt, Joe Manganelli, Paul Yanik, Sumod K. Mohan, Akshay Apte, Raghavendran Ramachandran, Linnea Smolentzov, Johnell O. Brooks, Ian D. Walker, Keith E. Green:
A Mobile Robotic Personal Nightstand with Integrated Perceptual Processes. CoRR abs/1310.4168 (2013)
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