research
∙
08/04/2023
Optimization on Pareto sets: On a theory of multi-objective optimization
In multi-objective optimization, a single decision vector must balance t...
share
research
∙
08/03/2023
Online covariance estimation for stochastic gradient descent under Markovian sampling
We study the online overlapping batch-means covariance estimator for Sto...
research
∙
06/09/2023
A Central Limit Theorem for Stochastic Saddle Point Optimization
In this work, we study the Uncertainty Quantification (UQ) of an algorit...
research
∙
05/08/2023
Direct Constructions of Multiple Shift Complementary Sets of Flexible Lengths
Golay complementary set (GCS) plays a vital role in reducing peak-to-mea...
research
∙
04/27/2023
Fairness Uncertainty Quantification: How certain are you that the model is fair?
Fairness-aware machine learning has garnered significant attention in re...
research
∙
11/26/2022
Sketch2FullStack: Generating Skeleton Code of Full Stack Website and Application from Sketch using Deep Learning and Computer Vision
For a full-stack web or app development, it requires a software firm or ...
research
∙
06/22/2022
Projection-free Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
We study a projection-free conditional gradient-type algorithm for const...
research
∙
03/25/2022
Plagiarism Detection in the Bengali Language: A Text Similarity-Based Approach
Plagiarism means taking another person's work and not giving any credit ...
research
∙
02/04/2022
Predictive Closed-Loop Service Automation in O-RAN based Network Slicing
Network slicing provides introduces customized and agile network deploym...
research
∙
12/16/2021
Predictive Price-Performance Optimization for Serverless Query Processing
We present an efficient, parametric modeling framework for predictive re...
research
∙
10/05/2021
Phoebe: A Learning-based Checkpoint Optimizer
Easy-to-use programming interfaces paired with cloud-scale processing en...
research
∙
09/06/2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
In this work, we establish risk bounds for the Empirical Risk Minimizati...
research
∙
09/02/2021
Construction of Inter-Group Complementary Code Set and 2-D Z-Complementary Array Code Set Based on Multivariable Functions
The need of two dimensional (2-D) arrays with good 2-D correlation prope...
research
∙
09/28/2020
Escaping Saddle-Points Faster under Interpolation-like Conditions
In this paper, we show that under over-parametrization several standard ...
research
∙
09/10/2020
Intelligent Ranking for Dynamic Restoration in Next Generation Wireless Networks
Emerging 5G and next generation 6G wireless are likely to involve myriad...
research
∙
05/17/2020
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
Building on the principles of openness and intelligence, there has been ...
research
∙
12/03/2019
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
Saddle-point optimization problems are an important class of optimizatio...
research
∙
11/16/2019
Suspicion-Free Adversarial Attacks on Clustering Algorithms
Clustering algorithms are used in a large number of applications and pla...
research
∙
08/30/2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
Machine learning (ML) has proven itself in high-value web applications s...
research
∙
07/31/2019
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
Bandit algorithms have been predominantly analyzed in the convex setting...
research
∙
01/28/2019