Krishna Balasubramanian

According to our database1, Krishna Balasubramanian authored at least 11 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Winding Through: Crowd Navigation via Topological Invariance.
IEEE Robotics Autom. Lett., 2023

Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space.
Proceedings of the International Conference on Machine Learning, 2023

Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity.
Proceedings of the International Conference on Machine Learning, 2023

Improved Discretization Analysis for Underdamped Langevin Monte Carlo.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
High-probability bounds for robust stochastic Frank-Wolfe algorithm.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Topology-Informed Model Predictive Control for Anticipatory Collision Avoidance on a Ballbot.
CoRR, 2021

2020
High Tc Superconducting Tunnel Junctions For Cryogenic Temperature Measurement.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

2019
Low-Rank Principal Eigenmatrix Analysis.
CoRR, 2019

2008
Inferring functional linkage from residue level co-evolution information.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008


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