Karan Singh
26 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(14)
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(2)
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Renaissance Researcher
(7)
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Century Club Β· Bronze
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Research topics
Machine Learning
(18)
Optimization & Theory
(14)
Mathematics & Optimization
(13)
Optimization
(12)
Artificial Intelligence
(8)
Core AI
(8)
Reinforcement Learning
(7)
Learning Types
(7)
Methods
(7)
Core Methods
(5)
Computer Vision
(3)
Deep Learning
(3)
Analysis
(3)
Application Areas
(3)
Generation
(3)
Keywords
regret bound
(9)
linear dynamical system
(8)
regret minimization
(4)
sample complexity
(4)
online learning
(4)
online control
(3)
online convex optimization
(3)
online gradient descent
(2)
reinforcement learning
(2)
local optimum
(2)
diffusion model
(2)
spectral filtering
(2)
boosting algorithm
(2)
non-stochastic control
(2)
depth estimation
(2)
differential privacy
(2)
empirical risk minimization
(2)
markov decision process
(2)
adversarial perturbation
(2)
knowledge representation
(1)
Papers
Faster Global Minimum Cut with Predictions
ICML 2025
Motion Modes: What Could Happen Next?
CVPR 2025
Sample-Optimal Agnostic Boosting with Unlabeled Data
ICML 2025
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
CVPR 2024
Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements
ICML 2024
Sample-Efficient Agnostic Boosting
NeurIPS 2024
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret
L4DC 2023
Differentially Private and Lazy Online Convex Optimization
COLT 2023
Evaluation Metrics for Depth and Flow of Knowledge in Non-fiction Narrative Texts
ACL 2023
Online Nonstochastic Model-Free Reinforcement Learning
NeurIPS 2023
Variance-Reduced Conservative Policy Iteration
ALT 2023
A Boosting Approach to Reinforcement Learning
NeurIPS 2022
A Regret Minimization Approach to Iterative Learning Control
ICML 2021
Boosting for Online Convex Optimization
ICML 2021
Improper Learning for Non-Stochastic Control
COLT 2020
No-Regret Prediction in Marginally Stable Systems
COLT 2020
The Nonstochastic Control Problem
ALT 2020
Creative Flow+ Dataset
CVPR 2019
Efficient Full-Matrix Adaptive Regularization
ICML 2019
Logarithmic Regret for Online Control
NeurIPS 2019
Online Control with Adversarial Disturbances
ICML 2019
Provably Efficient Maximum Entropy Exploration
ICML 2019
Spectral Filtering for General Linear Dynamical Systems
NeurIPS 2018
Efficient Regret Minimization in Non-Convex Games
ICML 2017
Learning Linear Dynamical Systems via Spectral Filtering
NeurIPS 2017
The Price of Differential Privacy for Online Learning
ICML 2017