Wittawat Jitkrittum
27 papers · 2013–2025 · 6 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 (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
(6)
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Deep Specialist
(10)
π€
Dynamic Duo
(10)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(121)
Top co-authors
Research topics
Machine Learning
(26)
Optimization & Theory
(17)
Core Methods
(16)
Artificial Intelligence
(7)
Mathematics & Optimization
(7)
Application Areas
(5)
Core AI
(5)
Mathematics
(5)
Bayesian & Probabilistic Β· Machine Learning
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Natural Language Processing
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Types
(2)
Statistics
(2)
Keywords
kernel methods
(9)
maximum mean discrepancy
(7)
statistical test
(6)
reproducing kernel hilbert space
(4)
hypothesis testing
(3)
model comparison
(2)
cost-quality trade-off
(2)
nonparametric test
(2)
stein operator
(2)
goodness-of-fit test
(2)
kernel embedding
(2)
two-sample test
(2)
statistical testing
(2)
goodness of fit
(2)
question answering
(1)
uncertainty quantification
(1)
false discovery rate
(1)
feature selection
(1)
bayesian inference
(1)
image generation
(1)
Papers
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
ICML 2025
Faster Cascades via Speculative Decoding
ICLR 2025
Language Model Cascades: Token-Level Uncertainty And Beyond
ICLR 2024
Learning to Reject Meets Long-tail Learning
ICLR 2024
On Bias-Variance Alignment in Deep Models
ICLR 2024
Plugin estimators for selective classification with out-of-distribution detection
ICLR 2024
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
ICML 2024
When Does Confidence-Based Cascade Deferral Suffice?
NeurIPS 2023
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch
ECCV 2022
A Witness Two-Sample Test
AISTATS 2022
Post-hoc estimators for learning to defer to an expert
NeurIPS 2022
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
ICML 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
AISTATS 2021
Kernel Conditional Moment Test via Maximum Moment Restriction
UAI 2020
Learning Kernel Tests Without Data Splitting
NeurIPS 2020
More Powerful Selective Kernel Tests for Feature Selection
AISTATS 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
UAI 2020
Fisher Efficient Inference of Intractable Models
NeurIPS 2019
Kernel Mean Matching for Content Addressability of GANs
ICML 2019
Kernel Stein Tests for Multiple Model Comparison
NeurIPS 2019
Informative Features for Model Comparison
NeurIPS 2018
A Linear-Time Kernel Goodness-of-Fit Test
NeurIPS 2017
An Adaptive Test of Independence with Analytic Kernel Embeddings
ICML 2017
Interpretable Distribution Features with Maximum Testing Power
NeurIPS 2016
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
AISTATS 2016
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
NeurIPS 2015
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
ICML 2013