Amrit Singh Bedi
17 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
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Conference Polyglot
(7)
🏃
Academic Marathon
(5)
🐣
Hot Topic Early Bird
🗃️
Keyword Collector
(87)
🚀
Conference Pioneer
💎
Century Club
(15)
🔥
Unstoppable
(5)
❓
The Questioner
Conferences
AAAI (6)
ICML (3)
NIPS (3)
CVPR (1)
EACL (1)
EMNLP (1)
JMLR (1)
L4DC (1)
Top co-authors
Keywords
policy gradient
(4)
sample complexity
(3)
reinforcement learning
(3)
safety alignment
(2)
federated learning
(2)
primal-dual algorithm
(2)
inference-time alignment
(2)
general utility
(2)
multi-agent system
(2)
zero constraint violation
(2)
constrained markov decision process
(2)
jailbreak attack
(2)
language model
(2)
mechanism design
(1)
game theory
(1)
primal-dual optimization
(1)
variational inference
(1)
continuous control
(1)
natural policy gradient
(1)
policy optimization
(1)
Papers
Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs
EACL 2026
SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge
AAAI 2026
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
CVPR 2025
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
AAAI 2025
Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems
EMNLP 2025
Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time
ICML 2025
Transfer Q-star : Principled Decoding for LLM Alignment
NIPS 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
JMLR 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
NIPS 2024
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
AAAI 2023
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
ICML 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
AAAI 2022
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic
AAAI 2022
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
ICML 2022
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
NIPS 2020
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions
L4DC 2020