Chris J. Maddison
14 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (4) π Renaissance Researcher (5)
π
Academic Marathon
(6)
πΊοΈ
Taxonomy Completionist
(21)
π
Cross-Pollinator
(13)
π
Triple Crown
π₯
Unstoppable
(5)
π
Century Club
(14)
β‘
Prolific Year
(5)
Conferences
ICLR (6)
NIPS (5)
ICML (2)
ACL (1)
Top co-authors
Keywords
large language model
(2)
feature learning
(1)
natural language
(1)
variational inequality
(1)
natural language processing
(1)
text mining
(1)
prompt engineering
(1)
causal effect estimation
(1)
continuous optimization
(1)
empirical risk minimization
(1)
hierarchical representation
(1)
excess risk
(1)
linear regression
(1)
primal-dual algorithm
(1)
convex optimization
(1)
geometric convergence
(1)
generative model
(1)
alternating direction method of multiplier
(1)
primal-dual method
(1)
learning theory
(1)
Papers
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
ACL 2025
MixMin: Finding Data Mixtures via Convex Minimization
ICML 2025
MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
ICLR 2025
On the Efficiency of ERM in Feature Learning
NIPS 2024
Experts Donβt Cheat: Learning What You Donβt Know By Predicting Pairs
ICML 2024
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
ICLR 2024
Observational Scaling Laws and the Predictability of Langauge Model Performance
NIPS 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
NIPS 2024
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
ICLR 2023
Optimal Representations for Covariate Shift
ICLR 2022
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
ICLR 2021
Continuous Hierarchical Representations with PoincarΓ© Variational Auto-Encoders
NIPS 2019
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
ICLR 2019
Hamiltonian descent for composite objectives
NIPS 2019