Krishna Balasubramanian
12 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 💎 Century Club · Bronze
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Machine Learning
(11)
Optimization & Theory
(9)
Mathematics & Optimization
(8)
Mathematics
(7)
Optimization
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
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(1)
Bayesian & Probabilistic · Artificial Intelligence
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Keywords
poincare inequality
(3)
markov chain monte carlo
(2)
convergence rate
(2)
heavy-tailed distribution
(2)
nonparametric regression
(2)
robust statistics
(2)
sobolev space
(2)
langevin monte carlo
(2)
log-sobolev inequality
(2)
stochastic optimization
(2)
kl divergence
(1)
fisher information
(1)
renyi divergence
(1)
kullback-leibler divergence
(1)
in-context learning
(1)
transformer architecture
(1)
decentralized optimization
(1)
stochastic convex optimization
(1)
minimax optimality
(1)
bayesian inference
(1)
Papers
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
ICLR 2025
Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
UAI 2025
Transformers Handle Endogeneity in In-Context Linear Regression
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 Poincaré Inequality
COLT 2023
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
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo
COLT 2022
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
ICML 2020