Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases. - Swati Gupta 001; Michel X. Goemans; Patrick Jaillet (CoRR, 2016)

Discrete Newton's Algorithm for Parametric Submodular Function Minimization. - Michel X. Goemans; Swati Gupta 001; Patrick Jaillet (IPCO, 2017)

Temporal Aspects of Individual Fairness. - Swati Gupta 001; Vijay Kamble (CoRR, 2018)

What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO. - Iain Dunning; Swati Gupta 001; John Silberholz (INFORMS J. Comput., 2018)

Robust Classification using Robust Feature Augmentation. - Kevin Eykholt; Swati Gupta 001; Atul Prakash 001; Haizhong Zheng (CoRR, 2019)

Group-Fair Online Allocation in Continuous Time. - Semih Cayci; Swati Gupta 001; Atilla Eryilmaz (NeurIPS, 2020)

Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization. - Hassan Mortagy; Swati Gupta 001; Sebastian Pokutta (NeurIPS, 2020)

Closing the Gap: Mitigating Bias in Online Résumé-Filtering. - Jad Salem; Swati Gupta 001 (WINE, 2020)

Impact of Bias on School Admissions and Targeted Interventions. - Yuri Faenza; Swati Gupta 001; Xuan Zhang (CoRR, 2020)

Generating Target Graph Couplings for QAOA from Native Quantum Hardware Couplings. - Joel Rajakumar; Jai Moondra; Swati Gupta 001; Creston D. Herold (CoRR, 2020)

Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes. - Jai Moondra; Hassan Mortagy; Swati Gupta 001 (NeurIPS, 2021)

Balanced Districting on Grid Graphs with Provable Compactness and Contiguity. - Cyrus Hettle; Shixiang Zhu; Swati Gupta 001; Yao Xie 002 (CoRR, 2021)

Taming Wild Price Fluctuations: Monotone Stochastic Convex Optimization with Bandit Feedback. - Jad Salem; Swati Gupta 001; Vijay Kamble (CoRR, 2021)

Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks using Submodularity. - Cyrus Hettle; Swati Gupta 001; Daniel K. Molzahn (CoRR, 2021)

Individual Fairness in Hindsight. - Swati Gupta 001; Vijay Kamble (J. Mach. Learn. Res., 2021)

Mathematically Quantifying Non-responsiveness of the 2021 Georgia Congressional Districting Plan. - Zhanzhan Zhao; Cyrus Hettle; Swati Gupta 001; Jonathan Christopher Mattingly; Dana Randall; Gregory Joseph Herschlag (EAAMO, 2022)

Don't let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradox. - Jad Salem; Deven R. Desai; Swati Gupta 001 (FAccT, 2022)

Algorithmic Challenges in Ensuring Fairness at the Time of Decision. - Jad Salem; Swati Gupta 001; Vijay Kamble (WINE, 2022)

Discovering Opportunities in New York City's Discovery Program: an Analysis of Affirmative Action Mechanisms. - Yuri Faenza; Swati Gupta 001; Xuan Zhang (CoRR, 2022)

Mathematically Quantifying Gerrymandering and the Non-responsiveness of the 2021 Georgia Congressional Districting Plan. - Zhanzhan Zhao; Cyrus Hettle; Swati Gupta 001; Jonathan Mattingly; Dana Randall; Gregory Herschlag (CoRR, 2022)

Socially Fair and Hierarchical Facility Location Problems. - Swati Gupta 001; Jai Moondra; Mohit Singh (CoRR, 2022)

Electrical flows over spanning trees. - Swati Gupta 001; Ali Khodabakhsh 002; Hassan Mortagy; Evdokia Nikolova (Math. Program., 2022)

Discovering Opportunities in New York City's Discovery Program: Disadvantaged Students in Highly Competitive Markets. - Yuri Faenza; Swati Gupta 001; Xuan Zhang (EC, 2023)

Which Lp norm is the fairest? Approximations for fair facility location across all "p". - Swati Gupta 001; Jai Moondra; Mohit Singh (EC, 2023)

TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training. - William Won; Midhilesh Elavazhagan; Sudarshan Srinivasan; Ajaya Durg; Swati Gupta 001; Tushar Krishna (CoRR, 2023)

Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients. - Mehak Arora; Hassan Mortagy; Nathan Dwarshius; Swati Gupta 001; Andre L. Holder; Rishikesan Kamaleswaran (CoRR, 2023)

Balancing Notions of Equity: Approximation Algorithms for Fair Portfolio of Solutions in Combinatorial Optimization. - Swati Gupta 001; Jai Moondra; Mohit Singh (CoRR, 2023)

Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths. - Reuben Tate; Jai Moondra; Bryan Gard; Greg Mohler; Swati Gupta 001 (Quantum, 2023)

TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning. - William Won; Midhilesh Elavazhagan; Sudarshan Srinivasan; Swati Gupta 001; Tushar Krishna (MICRO, 2024)

Equitably allocating wildfire resilience investments for power grids: The curse of aggregation and vulnerability indices. - Madeleine Pollack; Ryan Piansky; Swati Gupta 001; Alyssa Kody; Daniel K. Molzahn (CoRR, 2024)

Promise of Graph Sparsification and Decomposition for Noise Reduction in QAOA: Analysis for Trapped-Ion Compilations. - Jai Moondra; Phillip C. Lotshaw; Greg Mohler; Swati Gupta 001 (CoRR, 2024)

Secretary Problems with Biased Evaluations Using Partial Ordinal Information. - Jad Salem; Swati Gupta 001 (Manag. Sci., 2024)

Hardness and approximation of submodular minimum linear ordering problems. - Majid Farhadi; Swati Gupta 001; Shengding Sun; Prasad Tetali; Michael C. Wigal (Math. Program., 2024)

Balancing Notions of Equity: Trade-offs Between Fair Portfolio Sizes and Achievable Guarantees. - Swati Gupta 001; Jai Moondra; Mohit Singh (SODA, 2025)

Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning. - Cheol Woo Kim; Jai Moondra; Shresth Verma; Madeleine Pollack; Lingkai Kong; Milind Tambe; Swati Gupta 001 (CoRR, 2025)