Daniel Russo
19 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🐺
Lone Wolf
(3)
📈
Trend Setter
🗃️
Keyword Collector
(85)
💎
Century Club
(19)
Conferences
NIPS (6)
ACL (3)
COLT (3)
AISTATS (2)
ICML (2)
COLING (1)
EMNLP (1)
JMLR (1)
Top co-authors
Keywords
regret bound
(6)
multi-armed bandit
(4)
markov decision process
(4)
thompson sampling
(3)
reinforcement learning
(2)
regret minimization
(2)
bayesian optimization
(2)
information theory
(2)
large language model
(2)
counterspeech generation
(2)
online optimization
(2)
value function
(2)
mutual information
(2)
temporal difference learning
(2)
gaussian process
(1)
feature selection
(1)
synthetic data generation
(1)
policy gradient
(1)
posterior sampling
(1)
policy iteration
(1)
Papers
NLP for Counterspeech against Hate and Misinformation (CSHAM)
ACL 2025
First-AID: the first Annotation Interface for grounded Dialogues
ACL 2025
TrenTeam at Multilingual Counterspeech Generation: Multilingual Passage Re-Ranking Approaches for Knowledge-Driven Counterspeech Generation Against Hate
COLING 2025
EuroVerdict: A Multilingual Dataset for Verdict Generation Against Misinformation
ACL 2025
On the Statistical Benefits of Temporal Difference Learning
ICML 2023
Countering Misinformation via Emotional Response Generation
EMNLP 2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning
ICML 2023
Temporally-Consistent Survival Analysis
NIPS 2022
On the Linear Convergence of Policy Gradient Methods for Finite MDPs
AISTATS 2021
Learning to Stop with Surprisingly Few Samples
COLT 2021
Worst-Case Regret Bounds for Exploration via Randomized Value Functions
NIPS 2019
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
COLT 2018
Improving the Expected Improvement Algorithm
NIPS 2017
An Information-Theoretic Analysis of Thompson Sampling
JMLR 2016
Controlling Bias in Adaptive Data Analysis Using Information Theory
AISTATS 2016
Simple Bayesian Algorithms for Best Arm Identification
COLT 2016
Learning to Optimize via Information-Directed Sampling
NIPS 2014
(More) Efficient Reinforcement Learning via Posterior Sampling
NIPS 2013
Eluder Dimension and the Sample Complexity of Optimistic Exploration
NIPS 2013