Wittawat Jitkrittum
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
5
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Faster Cascades via Speculative Decoding. | Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar |
| 2025 | ICML | Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation. | Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar |
| 2024 | ICLR | On Bias-Variance Alignment in Deep Models. | Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar |
| 2024 | ICLR | Language Model Cascades: Token-Level Uncertainty And Beyond. | Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar |
| 2024 | ICLR | Learning to Reject Meets Long-tail Learning. | Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar |
| 2024 | ICLR | Plugin estimators for selective classification with out-of-distribution detection. | Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar |
| 2024 | ICML | USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. | Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar |
| 2022 | AISTATS | A Witness Two-Sample Test. | Jonas M. Kbler, Wittawat Jitkrittum, Bernhard Schlkopf, Krikamol Muandet |
| 2022 | ECCV | A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch. | Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays |
| 2021 | AISTATS | Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation. | Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schlkopf |
| 2021 | ICML | Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. | Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar |
| 2020 | AISTATS | More Powerful Selective Kernel Tests for Feature Selection. | Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira |
| 2020 | UAI | Testing Goodness of Fit of Conditional Density Models with Kernels. | Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schlkopf |
| 2020 | UAI | Kernel Conditional Moment Test via Maximum Moment Restriction. | Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kbler |
| 2019 | ICML | Kernel Mean Matching for Content Addressability of GANs. | Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schlkopf |
| 2017 | ICML | An Adaptive Test of Independence with Analytic Kernel Embeddings. | Wittawat Jitkrittum, Zoltn Szab, Arthur Gretton |
| 2016 | AISTATS | K2-ABC: Approximate Bayesian Computation with Kernel Embeddings. | Mijung Park, Wittawat Jitkrittum, Dino Sejdinovic |
| 2015 | UAI | Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. | Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltn Szab |
| 2013 | ICML | Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning. | Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama |