Krishna Balasubramanian

19 papers A* 8A 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent.
ICLR
Sayan Banerjee, Krishna Balasubramanian, Promit Ghosal
2025 J jnl
In-context Learning for Mixture of Linear Regression: Existence, Generalization and Training Dynamics.
Trans. Mach. Learn. Res.
Yanhao Jin, Krishna Balasubramanian, Lifeng Lai
2025 A conf
Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps.
UAI
Zhaoyang Shi, Krishna Balasubramanian, Wolfgang Polonik
2025 A* conf
Online Covariance Estimation in Nonsmooth Stochastic Approximation.
COLT
Liwei Jiang, Abhishek Roy, Krishna Balasubramanian, Damek Davis, Dmitriy Drusvyatskiy, Sen Na
2025 J jnl
Online Covariance Estimation in Nonsmooth Stochastic Approximation.
CoRR
Liwei Jiang, Abhishek Roy, Krishna Balasubramanian, Damek Davis, Dmitriy Drusvyatskiy, Sen Na
2025 A* conf
Transformers Handle Endogeneity in In-Context Linear Regression.
ICLR
Haodong Liang, Krishna Balasubramanian, Lifeng Lai
2024 A conf
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression.
AISTATS
Zhaoyang Shi, Krishna Balasubramanian, Wolfgang Polonik
2024 J jnl
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression.
Trans. Mach. Learn. Res.
Xuxing Chen, Krishna Balasubramanian, Promit Ghosal, Bhavya Agrawalla
2023 A* conf
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity.
ICML
Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian
2023 A* conf
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space.
ICML
Michael Ziyang Diao, Krishna Balasubramanian, Sinho Chewi, Adil Salim
2023 A* conf
Improved Discretization Analysis for Underdamped Langevin Monte Carlo.
COLT
Matthew Shunshi Zhang, Sinho Chewi, Mufan (Bill) Li, Krishna Balasubramanian, Murat A. Erdogdu
2023 A* conf
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality.
COLT
Alireza Mousavi Hosseini, Tyler K. Farghly, Ye He, Krishna Balasubramanian, Murat A. Erdogdu
2023 J jnl
Winding Through: Crowd Navigation via Topological Invariance.
IEEE Robotics Autom. Lett.
Christoforos I. Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa
2022 A conf
High-probability bounds for robust stochastic Frank-Wolfe algorithm.
UAI
Tongyi Tang, Krishna Balasubramanian, Thomas Chun Man Lee
2022 A* conf
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo.
COLT
Krishna Balasubramanian, Sinho Chewi, Murat A. Erdogdu, Adil Salim, Shunshi Zhang
2021 J jnl
Topology-Informed Model Predictive Control for Anticipatory Collision Avoidance on a Ballbot.
CoRR
Christoforos I. Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa
2020 — conf
High Tc Superconducting Tunnel Junctions For Cryogenic Temperature Measurement.
IEEE SENSORS
Krishna Balasubramanian
2019 J jnl
Low-Rank Principal Eigenmatrix Analysis.
CoRR
Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu
2008 — conf
Inferring functional linkage from residue level co-evolution information.
BIOCOMP
Roger A. Craig, Keyur Malaviya, Krishna Balasubramanian, Li Liao