Krishna Balasubramanian
12 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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(5)
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Conferences
COLT (4)
ICML (3)
ICLR (2)
UAI (2)
AISTATS (1)
Top co-authors
Research topics
Keywords
poincare inequality
(3)
log-sobolev inequality
(2)
langevin monte carlo
(2)
robust statistics
(2)
markov chain monte carlo
(2)
heavy-tailed distribution
(2)
stochastic optimization
(2)
mirror descent
(1)
stochastic process
(1)
fisher information
(1)
stochastic approximation
(1)
stochastic convex optimization
(1)
monte carlo sampling
(1)
stochastic block model
(1)
decentralized optimization
(1)
convergence rate
(1)
convergence guarantee
(1)
nonparametric regression
(1)
minimax rate
(1)
bilevel optimization
(1)
Papers
Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
UAI 2025
Transformers Handle Endogeneity in In-Context Linear Regression
ICLR 2025
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
ICLR 2025
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression
AISTATS 2024
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity
ICML 2023
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
ICML 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond PoincarΓ© Inequality
COLT 2023
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo
COLT 2022
High-probability bounds for robust stochastic Frank-Wolfe algorithm
UAI 2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
COLT 2022
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
ICML 2020