Timothy Mann
12 papers · 2014–2021 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (7)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(6)
🏆
Keyword Champion
(2)
💎
Century Club
(12)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
ICLR (4)
ICML (4)
CVPR (1)
ICCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
temporal abstraction
(2)
option framework
(2)
neural network verification
(2)
adversarial robustness
(2)
bayesian learning
(1)
model misspecification
(1)
policy evaluation
(1)
adversarial training
(1)
domain generalization
(1)
robust reinforcement learning
(1)
formal verification
(1)
model-based reinforcement learning
(1)
skill discovery
(1)
off-policy learning
(1)
policy learning
(1)
approximate value iteration
(1)
lagrangian relaxation
(1)
bellman operator
(1)
generative model
(1)
model-based learning
(1)
Papers
Balancing Constraints and Rewards with Meta-Gradient D4PG
ICLR 2021
Self-supervised Adversarial Robustness for the Low-label, High-data Regime
ICLR 2021
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
CVPR 2020
Non-Stationary Delayed Bandits with Intermediate Observations
ICML 2020
Robust Reinforcement Learning for Continuous Control with Model Misspecification
ICLR 2020
A Bayesian Approach to Robust Reinforcement Learning
UAI 2019
Scalable Verified Training for Provably Robust Image Classification
ICCV 2019
Beyond Greedy Ranking: Slate Optimization via List-CVAE
ICLR 2019
A Dual Approach to Verify and Train Deep Networks
IJCAI 2019
Off-policy Model-based Learning under Unknown Factored Dynamics
ICML 2015
Time-Regularized Interrupting Options (TRIO)
ICML 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
ICML 2014