Wittawat Jitkrittum

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 53

Top Topics

Robust Optimization

Laplacian Eigenmaps

Top Venues

Publications

Congchao Wang, Sean Augenstein, Keith Rush, Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Aditya Krishna Menon, Alec Go
Cascade-Aware Training of Language Models. CoRR (2024)
Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
Faster Cascades via Speculative Decoding. CoRR (2024)
Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
Language Model Cascades: Token-level uncertainty and beyond. CoRR (2024)
Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar
Plugin estimators for selective classification with out-of-distribution detection. ICLR (2024)
Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar
On Bias-Variance Alignment in Deep Models. ICLR (2024)
Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
Language Model Cascades: Token-Level Uncertainty And Beyond. ICLR (2024)
Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar
Learning to Reject Meets Long-tail Learning. ICLR (2024)
Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
When Does Confidence-Based Cascade Deferral Suffice? NeurIPS (2023)
Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
When Does Confidence-Based Cascade Deferral Suffice? CoRR (2023)
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR (2023)
Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models. CoRR (2023)
Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar
Learning to reject meets OOD detection: Are all abstentions created equal? CoRR (2023)
Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar
Post-hoc estimators for learning to defer to an expert. NeurIPS (2022)
Wittawat Jitkrittum, Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar
ELM: Embedding and Logit Margins for Long-Tail Learning. CoRR (2022)
Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
A Witness Two-Sample Test. AISTATS (2022)
Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays
A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch. ECCV (38) (2022)
Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton
Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'. CoRR (2022)
Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch. CoRR (2022)
Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
An Optimal Witness Function for Two-Sample Testing. CoRR (2021)
Mijung Park, Margarita Vinaroz, Wittawat Jitkrittum
ABCDP: Approximate Bayesian Computation with Differential Privacy. Entropy 23 (8) (2021)
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. ICML (2021)
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces. CoRR (2021)
Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation. AISTATS (2021)
Wittawat Jitkrittum, Michal Lukasik, Ananda Theertha Suresh, Felix X. Yu, Gang Wang
HD-cos Networks: Efficient Neural Architectures for Secure Multi-Party Computation. CoRR (2021)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. AISTATS (2020)
Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schölkopf
Testing Goodness of Fit of Conditional Density Models with Kernels. CoRR (2020)
Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf
Kernel Distributionally Robust Optimization. CoRR (2020)
Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf
Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem. CoRR (2020)
Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler
Kernel Conditional Moment Test via Maximum Moment Restriction. CoRR (2020)
Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler
Kernel Conditional Moment Test via Maximum Moment Restriction. UAI (2020)
Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schölkopf
Testing Goodness of Fit of Conditional Density Models with Kernels. UAI (2020)
Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf
Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem. CDC (2020)
Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
Learning Kernel Tests Without Data Splitting. CoRR (2020)
Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
Learning Kernel Tests Without Data Splitting. NeurIPS (2020)
Song Liu, Takafumi Kanamori, Wittawat Jitkrittum, Yu Chen
Fisher Efficient Inference of Intractable Models. NeurIPS (2019)
Arash Mehrjou, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces. CoRR (2019)
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
Kernel Stein Tests for Multiple Model Comparison. CoRR (2019)
Mijung Park, Wittawat Jitkrittum
ABCDP: Approximate Bayesian Computation Meets Differential Privacy. CoRR (2019)
Heishiro Kanagawa, Wittawat Jitkrittum, Lester Mackey, Kenji Fukumizu, Arthur Gretton
A Kernel Stein Test for Comparing Latent Variable Models. CoRR (2019)
Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schölkopf
Kernel Mean Matching for Content Addressability of GANs. CoRR (2019)
Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schölkopf
Kernel Mean Matching for Content Addressability of GANs. ICML (2019)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. CoRR (2019)
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
Kernel Stein Tests for Multiple Model Comparison. NeurIPS (2019)
Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy, James Hays, Bernhard Schölkopf, Arthur Gretton
Informative Features for Model Comparison. CoRR (2018)
Song Liu, Wittawat Jitkrittum, Carl Henrik Ek
Model Inference with Stein Density Ratio Estimation. CoRR (2018)
Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy, James Hays, Bernhard Schölkopf, Arthur Gretton
Informative Features for Model Comparison. NeurIPS (2018)
Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
A Linear-Time Kernel Goodness-of-Fit Test. NIPS (2017)
Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
A Linear-Time Kernel Goodness-of-Fit Test. CoRR (2017)
Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton
An Adaptive Test of Independence with Analytic Kernel Embeddings. ICML (2017)
Mijung Park, Wittawat Jitkrittum, Dino Sejdinovic
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings. AISTATS (2016)
Wittawat Jitkrittum, Zoltán Szabó, Kacper Chwialkowski, Arthur Gretton
Interpretable Distribution Features with Maximum Testing Power. CoRR (2016)
Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton
An Adaptive Test of Independence with Analytic Kernel Embeddings. CoRR (2016)
Wittawat Jitkrittum, Zoltán Szabó, Kacper P. Chwialkowski, Arthur Gretton
Interpretable Distribution Features with Maximum Testing Power. NIPS (2016)
Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess
Passing Expectation Propagation Messages with Kernel Methods. CoRR (2015)
Mijung Park, Wittawat Jitkrittum, Dino Sejdinovic
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings. CoRR (2015)
Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltán Szabó
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. UAI (2015)
Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltán Szabó
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. CoRR (2015)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar, Zoltán Szabó, Lars Buesing, Maneesh Sahani
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM). NIPS (2015)
Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Comput. 26 (1) (2014)
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama
-Penalized Squared-Loss Mutual Information. IEICE Trans. Inf. Syst. (7) (2013)
Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning. ICML (3) (2013)
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama
Feature Selection via L1-Penalized Squared-Loss Mutual Information CoRR (2012)
Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Masashi Sugiyama
High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso CoRR (2012)
Choochart Haruechaiyasak, Wittawat Jitkrittum, Chatchawal Sangkeettrakarn, Chaianun Damrongrat
Implementing News Article Category Browsing Based on Text Categorization Technique. Web Intelligence/IAT Workshops (2008)
Choochart Haruechaiyasak, Chatchawal Sangkeettrakarn, Wittawat Jitkrittum
Managing Offline Educational Web Contents with Search Engine Tools. ICADL (2007)