Yoav Wald
10 papers · 2017–2025 · 4 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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๐ Interdisciplinary Bridge ยท Bronze ๐ Conference Polyglot ยท Bronze ๐ Academic Marathon ยท Sprint ๐บ๏ธ Taxonomy Completionist (27) ๐ฃ Hot Topic Early Bird
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(50)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Core AI
(5)
Optimization & Theory
(5)
Learning Types
(4)
Application Areas
(2)
Core Methods
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Models
(1)
Keywords
spurious correlation
(2)
structured prediction
(2)
causal inference
(2)
out-of-distribution generalization
(2)
semi-supervised learning
(1)
policy evaluation
(1)
image classification
(1)
gaussian markov random field
(1)
robust optimization
(1)
text classification
(1)
model calibration
(1)
temporal reasoning
(1)
causal effect estimation
(1)
non-convex optimization
(1)
distribution shift
(1)
gradient descent
(1)
conditional probability
(1)
user modeling
(1)
robust regression
(1)
shortcut learning
(1)
Papers
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
ICLR 2025
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
UAI 2023
Data Augmentations for Improved (Large) Language Model Generalization
NeurIPS 2023
Donโt blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
NeurIPS 2023
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
ICLR 2023
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
NeurIPS 2022
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace
ICCV 2021
On Calibration and Out-of-Domain Generalization
NeurIPS 2021
Globally Optimal Learning for Structured Elliptical Losses
NeurIPS 2019
Robust Conditional Probabilities
NeurIPS 2017