Rahul Kidambi
16 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(10)
👥
Mega-Team
(20)
🗃️
Keyword Collector
(63)
🚀
Conference Pioneer
💎
Century Club
(16)
❓
The Questioner
Conferences
NIPS (5)
ICML (3)
COLT (2)
ICLR (2)
AISTATS (1)
ALT (1)
EMNLP (1)
JMLR (1)
Top co-authors
Keywords
stochastic gradient descent
(4)
least squares regression
(2)
offline reinforcement learning
(2)
imitation learning
(2)
online learning
(1)
behavior cloning
(1)
policy evaluation
(1)
stochastic process
(1)
model-based learning
(1)
multi-label classification
(1)
policy learning
(1)
empirical risk minimization
(1)
game theory
(1)
regret minimization
(1)
distribution matching
(1)
parallel computing
(1)
covariate shift
(1)
generalization error
(1)
convex optimization
(1)
adversarial robustness
(1)
Papers
Fundamental Limits of Perfect Concept Erasure
AISTATS 2025
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
ICML 2024
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
ICLR 2024
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Top-k eXtreme Contextual Bandits with Arm Hierarchy
ICML 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks
ICML 2021
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
NIPS 2021
MobILE: Model-Based Imitation Learning From Observation Alone
NIPS 2021
MOReL: Model-Based Offline Reinforcement Learning
NIPS 2020
Leverage Score Sampling for Faster Accelerated Regression and ERM
ALT 2020
Open Problem: Do Good Algorithms Necessarily Query Bad Points?
COLT 2019
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
NIPS 2019
Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification
JMLR 2018
Accelerating Stochastic Gradient Descent for Least Squares Regression
COLT 2018
On the insufficiency of existing momentum schemes for Stochastic Optimization
ICLR 2018
Submodular Hamming Metrics
NIPS 2015