Chris J Maddison
16 papers · 2013–2024 · 1 conference · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (11) π Cross-Pollinator (10) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
π
Academic Marathon
(11)
π
Keyword Champion
π
Century Club
(16)
π
Trend Setter
ποΈ
Keyword Collector
(97)
Conferences
NIPS (16)
Top co-authors
Research topics
Keywords
latent variable model
(2)
generative model
(2)
variance reduction
(2)
learning theory
(1)
variational inference
(1)
convex optimization
(1)
binary classification
(1)
natural language processing
(1)
text mining
(1)
attention mechanism
(1)
data augmentation
(1)
sample complexity
(1)
causal effect estimation
(1)
universal approximation
(1)
gradient estimation
(1)
continuous optimization
(1)
empirical risk minimization
(1)
marginal likelihood
(1)
covariance matrix
(1)
variational inequality
(1)
Papers
On the Efficiency of ERM in Feature Learning
NIPS 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
NIPS 2024
Observational Scaling Laws and the Predictability of Langauge Model Performance
NIPS 2024
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit
NIPS 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers
NIPS 2023
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
NIPS 2023
Lossy Compression for Lossless Prediction
NIPS 2021
Learning Generalized Gumbel-max Causal Mechanisms
NIPS 2021
Gradient Estimation with Stochastic Softmax Tricks
NIPS 2020
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
NIPS 2020
Continuous Hierarchical Representations with PoincarΓ© Variational Auto-Encoders
NIPS 2019
Hamiltonian descent for composite objectives
NIPS 2019
Filtering Variational Objectives
NIPS 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
NIPS 2017
A* Sampling
NIPS 2014
Annealing between distributions by averaging moments
NIPS 2013