Adam Kalai
15 papers · 2002–2024 · 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
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πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Champion
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(13)
β
The Questioner
(3)
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Conference Pioneer
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Keyword Collector
(100)
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(10)
Learning Types
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Natural Language Processing
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Optimization
(3)
Deep Learning
(2)
Applications
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Keywords
word embedding
(2)
language model
(2)
non-convex optimization
(1)
domain adaptation
(1)
convex optimization
(1)
game theory
(1)
feature selection
(1)
semantic analysis
(1)
bounded rationality
(1)
decision theory
(1)
rational choice
(1)
factual accuracy
(1)
kl divergence
(1)
natural language generation
(1)
language modeling
(1)
transductive learning
(1)
program synthesis
(1)
equilibrium learning
(1)
isotonic regression
(1)
transfer learning
(1)
Papers
Do Language Models Know When Theyβre Hallucinating References?
EACL 2024
Are GANs overkill for NLP?
NeurIPS 2022
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
NeurIPS 2022
Towards optimally abstaining from prediction with OOD test examples
NeurIPS 2021
Generalize Across Tasks: Efficient Algorithms for Linear
Representation Learning
ALT 2019
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
ICML 2019
Whatβs in a Name? Reducing Bias in Bios without Access to Protected Attributes
NAACL 2019
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
COLT 2018
Counterfactual Language Model Adaptation for Suggesting Phrases
IJCNLP 2017
A Machine Learning Framework for Programming by Example
ICML 2013
Feature Multi-Selection among Subjective Features
ICML 2013
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
NeurIPS 2011
Potential-Based Agnostic Boosting
NeurIPS 2009
An Approach to Bounded Rationality
NeurIPS 2006
Efficient Algorithms for Universal Portfolios
JMLR 2002