Jai Moondra

According to our database, Jai Moondra authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2026

Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML.

Jai Moondra, Ayela Chughtai, Bhargavi Lanka, Swati Gupta

CoRR, May, 2026

Many Preferences, Few Policies: Towards Scalable Language Model Personalization.

Cheol Woo Kim, Jai Moondra, Roozbeh Nahavandi, Andrew Perrault, Milind Tambe, Swati Gupta

CoRR, April, 2026

Stochastic Function Certification with Correlations.

Rohan Ghuge, Jai Moondra, Mohit Singh

CoRR, April, 2026

Improved Regret Guarantees for Online Mirror Descent using a Portfolio of Mirror Maps.

Swati Gupta, Jai Moondra, Mohit Singh

CoRR, February, 2026

2025

Provably Small Portfolios for Multiobjective Optimization with Application to Subsidized Facility Location.

Swati Gupta, Jai Moondra, Mohit Singh

CoRR, October, 2025

Balancing Notions of Equity: Trade-offs Between Fair Portfolio Sizes and Achievable Guarantees.

Swati Gupta, Jai Moondra, Mohit Singh

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

CoRR, 2024

On Disjunctive Rado Numbers for Some Sets of Equations.

A. Dileep, Jai Moondra, Amitabha Tripathi

Electron. J. Comb., 2024

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

Quantum, September, 2023

Exact and approximate results on the least size of a graph with a given degree set.

Jai Moondra, Aditya Sahdev, Amitabha Tripathi

Discret. Appl. Math., July, 2023

Balancing Notions of Equity: Approximation Algorithms for Fair Portfolio of Solutions in Combinatorial Optimization.

Swati Gupta, Jai Moondra, Mohit Singh

CoRR, 2023

Which Lp norm is the fairest? Approximations for fair facility location across all "p".

Swati Gupta, Jai Moondra, Mohit Singh

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

2022

New Proofs for the Disjunctive Rado Number of the Equations x_{1-x_2=a} and x_{1-x_2=b}.

A. Dileep, Jai Moondra, Amitabha Tripathi

Graphs Comb., 2022

Socially Fair and Hierarchical Facility Location Problems.

Swati Gupta, Jai Moondra, Mohit Singh

CoRR, 2022

Multi Purpose Routing: New Perspectives and Approximation Algorithms.

Majid Farhadi, Jai Moondra, Prasad Tetali, Alejandro Toriello

CoRR, 2022

2021

Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes.

Jai Moondra, Hassan Mortagy, Swati Gupta

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generating Target Graph Couplings for QAOA from Native Quantum Hardware Couplings.

Joel Rajakumar, Jai Moondra, Swati Gupta, Creston D. Herold

CoRR, 2020