Chris Maddison
10 papers · 2014–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🏃 Academic Marathon (10) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)
🏃
Academic Marathon
(10)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
💎
Century Club
(10)
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Keyword Collector
(61)
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Trend Setter
Conferences
ICML (8)
AAAI (1)
COLT (1)
Top co-authors
Keywords
variational inference
(3)
combinatorial optimization
(2)
generative model
(2)
stochastic gradient descent
(1)
imitation learning
(1)
markov chain monte carlo
(1)
offline reinforcement learning
(1)
metropolis-hastings sampling
(1)
boolean satisfiability
(1)
graph representation learning
(1)
minimax optimality
(1)
neural architecture
(1)
importance sampling
(1)
marginal likelihood
(1)
monte carlo estimation
(1)
logistic regression
(1)
source code
(1)
variance reduction
(1)
skill discovery
(1)
bayesian nonparametrics
(1)
Papers
Minimax Linear Regression under the Quantile Risk
COLT 2024
Bayesian Nonparametrics for Offline Skill Discovery
ICML 2022
Augment with Care: Contrastive Learning for Combinatorial Problems
ICML 2022
Stochastic Reweighted Gradient Descent
ICML 2022
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
ICML 2022
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
ICML 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
ICML 2021
Learning Branching Heuristics for Propositional Model Counting
AAAI 2021
Tighter Variational Bounds are Not Necessarily Better
ICML 2018
Structured Generative Models of Natural Source Code
ICML 2014