Adam Tauman Kalai
12 papers · 2009–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24)
π
Triple Crown
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(50)
Top co-authors
Research topics
Machine Learning
(8)
Learning Types Β· Machine Learning
(5)
Application Areas
(3)
Core Methods
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Natural Language Processing
(2)
Applications Β· Natural Language Processing
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications Β· Data Science & Analytics
(1)
Optimization
(1)
Keywords
generalization bound
(2)
algorithmic fairness
(1)
vc dimension
(1)
domain generalization
(1)
domain adaptation
(1)
transductive learning
(1)
feature selection
(1)
collaborative filtering
(1)
model evaluation
(1)
sample complexity
(1)
pac learning
(1)
code generation
(1)
perceptron algorithm
(1)
synthetic data generation
(1)
online learning
(1)
covariate shift
(1)
label noise
(1)
gradient descent
(1)
generalization error
(1)
semi-supervised learning
(1)
Papers
First-Person Fairness in Chatbots
ICLR 2025
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
NeurIPS 2023
Language Models Can Teach Themselves to Program Better
ICLR 2023
Partial Matrix Completion
NeurIPS 2023
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
ICML 2023
Efficient Learning with Arbitrary Covariate Shift
ALT 2021
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
AISTATS 2021
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
NeurIPS 2020
Learning to Prune: Speeding up Repeated Computations
COLT 2019
Actively Avoiding Nonsense in Generative Models
COLT 2018
Matching and Grokking: Approaches to Personalized Crowdsourcing
IJCAI 2015
Analysis of Perceptron-Based Active Learning
JMLR 2009