Li Kevin Wenliang
9 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 👑 Triple Crown
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Prolific Year · Productive
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Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Optimization & Theory
(5)
Core Methods
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Applications
(2)
Architectures
(2)
Learning Types
(2)
Models
(2)
Interdisciplinary
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
return distribution
(2)
generative model
(2)
transformer architecture
(1)
bayesian inference
(1)
probabilistic inference
(1)
optimal transport
(1)
knowledge distillation
(1)
game playing
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in-context learning
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language modeling
(1)
supervised learning
(1)
minimax optimization
(1)
distributional reinforcement learning
(1)
time series
(1)
bellman equation
(1)
self-supervised learning
(1)
dynamic programming
(1)
sensory integration
(1)
sensory perception
(1)
representation learning
(1)
Papers
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
NeurIPS 2024
Distributional Bellman Operators over Mean Embeddings
ICML 2024
Language Modeling Is Compression
ICLR 2024
Learning Universal Predictors
ICML 2024
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
NeurIPS 2024
Memory-Based Meta-Learning on Non-Stationary Distributions
ICML 2023
Neural Networks and the Chomsky Hierarchy
ICLR 2023
COT-GAN: Generating Sequential Data via Causal Optimal Transport
NeurIPS 2020
A neurally plausible model for online recognition and postdiction in a dynamical environment
NeurIPS 2019