| 2023 | A principled framework for the design and analysis of token algorithms. | Hadrien Hendrikx |
| 2023 | SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks. | Yuhang He, Andrew Markham |
| 2023 | Learning Physics-Informed Neural Networks without Stacked Back-propagation. | Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu |
| 2023 | Agnostic PAC Learning of k-juntas Using L | Mohsen Heidari, Wojciech Szpankowski |
| 2023 | Learning k-qubit Quantum Operators via Pauli Decomposition. | Mohsen Heidari, Wojciech Szpankowski |
| 2023 | TabLLM: Few-shot Classification of Tabular Data with Large Language Models. | Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag |
| 2023 | How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? | Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan |
| 2023 | Entropic Risk Optimization in Discounted MDPs. | Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh |
| 2023 | Nystrm Method for Accurate and Scalable Implicit Differentiation. | Ryuichiro Hataya, Makoto Yamada |
| 2023 | Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. | Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri |
| 2023 | Structure of Nonlinear Node Embeddings in Stochastic Block Models. | Christopher Harker, Aditya Bhaskara |
| 2023 | Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles. | Yuxuan Han, Jialin Zeng, Yang Wang, Yang Xiang, Jiheng Zhang |
| 2023 | Riemannian Accelerated Gradient Methods via Extrapolation. | Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao |
| 2023 | Randomized Primal-Dual Methods with Adaptive Step Sizes. | Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh, Necdet S. Aybat |
| 2023 | BaCaDI: Bayesian Causal Discovery with Unknown Interventions. | Alexander Hgele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schlkopf, Andreas Krause |
| 2023 | An Unpooling Layer for Graph Generation. | Yinglong Guo, Dongmian Zou, Gilad Lerman |
| 2023 | Can 5th Generation Local Training Methods Support Client Sampling? Yes! | Michal Grudzien, Grigory Malinovsky, Peter Richtrik |
| 2023 | Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. | Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman |
| 2023 | Pricing against a Budget and ROI Constrained Buyer. | Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni |
| 2023 | Incentive-aware Contextual Pricing with Non-parametric Market Noise. | Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang |
| 2023 | Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime. | Daniel Goldfarb, Paul Hand |
| 2023 | Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model. | Grzegorz Gluch, Khashayar Barooti, Rdiger L. Urbanke |
| 2023 | Algorithm for Constrained Markov Decision Process with Linear Convergence. | Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takc |
| 2023 | Density Ratio Estimation and Neyman Pearson Classification with Missing Data. | Josh Givens, Song Liu, Henry W. J. Reeve |
| 2023 | Spectral Augmentations for Graph Contrastive Learning. | Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates |