Ron Dorfman
6 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (2) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5)
🐝
Cross-Pollinator
(15)
🔥
Unstoppable
(5)
Conferences
ICML (4)
ACL (1)
NIPS (1)
Top co-authors
Keywords
meta learning
(1)
model compression
(1)
federated learning
(1)
stochastic optimization
(1)
temporal difference learning
(1)
offline reinforcement learning
(1)
variational inference
(1)
convex optimization
(1)
bayesian reinforcement learning
(1)
belief state
(1)
markov chain
(1)
communication efficiency
(1)
mixing time
(1)
exploration strategy
(1)
reference-free evaluation
(1)
multi-level monte carlo
(1)
cross-device setting
(1)
downlink compression
(1)
large language model
(1)
tool-use capability
(1)
Papers
DREAM: Deep Research Evaluation with Agentic Metrics
ACL 2026
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
ICML 2025
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
ICML 2024
DoCoFL: Downlink Compression for Cross-Device Federated Learning
ICML 2023
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
ICML 2022
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
NIPS 2021