no code implementations • 21 Aug 2023 • Mehak Arora, Hassan Mortagy, Nathan Dwarshius, Swati Gupta, Andre L. Holder, Rishikesan Kamaleswaran
In particular, by using high-dimensional mixed-integer programs that capture physiological and biological constraints on patient vitals and lab values, we can harness the power of mathematical "projections" for the EMR data to correct patient data.
no code implementations • 11 Apr 2023 • William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Ajaya Durg, Samvit Kaul, Swati Gupta, Tushar Krishna
To this end, this paper introduces TACOS, an automated synthesizer that generates topology-aware collective algorithms for common distributed machine learning collectives across arbitrary input network topologies.
no code implementations • 10 Apr 2023 • John Dickerson, Bistra Dilkina, Yu Ding, Swati Gupta, Pascal Van Hentenryck, Sven Koenig, Ramayya Krishnan, Radhika Kulkarni, Catherine Gill, Haley Griffin, Maddy Hunter, Ann Schwartz
This workshop Report Out focuses on the foundational elements of trustworthy AI and OR technology, and how to ensure all AI and OR systems implement these elements in their system designs.
no code implementations • 7 Dec 2022 • Brijraj Singh, Swati Gupta, Mayukh Das, Praveen Doreswamy Naidu, Sharan Kumar Allur
TreeDNN helps in training the model with multiple datasets simultaneously, where each branch of the tree may need a different training dataset.
1 code implementation • NeurIPS 2021 • Jai Moondra, Hassan Mortagy, Swati Gupta
Motivated by this trade-off in runtime v/s convergence rates, we consider iterative projections of close-by points over widely-prevalent submodular base polytopes $B(f)$.
no code implementations • 16 Mar 2021 • Jad Salem, Swati Gupta, Vijay Kamble
The goal of this paper is to highlight the rich interface between temporal notions of fairness and online decision-making through a novel meta-objective of ensuring fairness at the time of decision.
no code implementations • 9 Feb 2021 • Cyrus Hettle, Shixiang Zhu, Swati Gupta, Yao Xie
Given a graph $G = (V, E)$ with vertex weights $w(v)$ and a desired number of parts $k$, the goal in graph partitioning problems is to partition the vertex set V into parts $V_1,\ldots, V_k$.
graph partitioning Data Structures and Algorithms Combinatorics Optimization and Control
no code implementations • 29 Jan 2021 • Navchetan Awasthi, Rohit Pardasani, Swati Gupta
Here, we have developed a multi-threshold model based on attention U-Net for identification of various regions of the tumor in magnetic resonance imaging (MRI).
1 code implementation • NeurIPS 2020 • Hassan Mortagy, Swati Gupta, Sebastian Pokutta
We combine these insights into a novel Shadow-CG method that uses FW and shadow steps, while enjoying linear convergence, with a rate that depends on the number of breakpoints in its projection curve, rather than the pyramidal width.
no code implementations • NeurIPS 2020 • Semih Cayci, Swati Gupta, Atilla Eryilmaz
Furthermore, as a consequence of certain ethical and economic concerns, the controller may impose deadlines on the completion of each task, and require fairness across different groups in the allocation of total time budget $B$.
no code implementations • 22 Apr 2020 • Yuri Faenza, Swati Gupta, Xuan Zhang
These scores are known to be impacted by socioeconomic status of students and test preparation received in "feeder" middle schools, leading to a massive filtering effect in the education pipeline.
no code implementations • 26 May 2019 • Kevin Eykholt, Swati Gupta, Atul Prakash, Amir Rahmati, Pratik Vaishnavi, Haizhong Zheng
Existing deep neural networks, say for image classification, have been shown to be vulnerable to adversarial images that can cause a DNN misclassification, without any perceptible change to an image.
no code implementations • 10 Dec 2018 • Swati Gupta, Vijay Kamble
In this paper, we extend the notion of IF to account for the time at which a decision is made, in settings where there exists a notion of conduciveness of decisions as perceived by the affected individuals.
no code implementations • 1 Mar 2016 • Swati Gupta, Michel Goemans, Patrick Jaillet
We give a general recipe to simulate the multiplicative weights update algorithm in time polynomial in their natural dimension.