NeurIPS

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning

Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljačić

Comments Advances in Neural Information Processing Systems 36 (NeurIPS 2023) spotlight

A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability

Idan Attias, Steve Hanneke, Yishay Mansour

Comments NeurIPS 2022 camera-ready

What Planning Problems Can A Relational Neural Network Solve?

Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

Comments NeurIPS 2023 (Spotlight). Project page: https://concepts-ai.com/p/goal-regression-width/

Potential Energy based Mixture Model for Noisy Label Learning

Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen Jia

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Uncertainty-aware self-training with expectation maximization basis transformation

Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen Jia

Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Counterbalancing Learning and Strategic Incentives in Allocation Markets

Itai Ashlagi, Jamie Kang, Moran Koren, Faidra Monachou

Comments A preliminary version appeared in the Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021)

Super-Resolution Emulation of Large Cosmological Fields with a 3D Conditional Diffusion Model

Adam Rouhiainen, Michael Gira, Moritz Münchmeyer, Kangwook Lee, Gary Shiu

Comments 20 pages, 11 figures, extended version of NeurIPS 2023 Machine Learning and the Physical Sciences workshop submission

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning

Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu

Comments Accepted at NeurIPS 2023. Email: liucl1996@163.com

Annealed Importance Sampling with q-Paths

Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen

Comments NeurIPS Workshop on Deep Learning through Information Geometry (Best Paper Award)

Journal ref Published at UAI 2021 https://arxiv.org/abs/2107.00745

Generalization in the Face of Adaptivity: A Bayesian Perspective

Moshe Shenfeld, Katrina Ligett

Journal ref Advances in Neural Information Processing Systems, 36 (2024)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning

Matthias Gerstgrasser, Tom Danino, Sarah Keren

Comments published at NeurIPS 2023

Journal ref Advances in Neural Information Processing Systems, 36 (2023)

RETVec: Resilient and Efficient Text Vectorizer

Elie Bursztein, Marina Zhang, Owen Vallis, Xinyu Jia, Alexey Kurakin

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Avinash Anand, Mohit Gupta, Kritarth Prasad, Navya Singla, Sanjana Sanjeev, Jatin Kumar, Adarsh Raj Shivam, Rajiv Ratn Shah

Comments 10 pages, 3 figures, NeurIPS 2023 Workshop on Generative AI for Education (GAIED)

Journal ref NeurIPS 2023 Workshop on Generative AI for Education (GAIED)

Efficient infusion of self-supervised representations in Automatic Speech Recognition

Darshan Prabhu, Sai Ganesh Mirishkar, Pankaj Wasnik

Comments Accepted to ENLSP workshop, NeurIPS 2023

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration

Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar

Comments NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning https://www.climatechange.ai/papers/neurips2023/15. arXiv admin note: substantial text overlap with arXiv:2310.03906

Data-driven Prior Learning for Bayesian Optimisation

Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard

Comments Presented at the NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World

Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning

Colin Bellinger, Mark Crowley, Isaac Tamblyn

Comments NeurIPS 2023 Workshop WANT

Training neural operators to preserve invariant measures of chaotic attractors

Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett

Comments Accepted at NeurIPS 2023

Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Comments NeurIPS 2023

Segment Anything in 3D with Radiance Fields

Jiazhong Cen, Jiemin Fang, Zanwei Zhou, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

Comments Extension version of SA3D (NeurIPS 2023). Project page: https://jumpat.github.io/SA3D/

Backward Learning for Goal-Conditioned Policies

Marc Höftmann, Jan Robine, Stefan Harmeling

Comments World Models, Goal-conditioned, Reward-free, Workshop on Goal-Conditioned Reinforcement Learning - NeurIPS 2023

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord

Comments Accepted in Machine Learning and the Physical Sciences Workshop at NeurIPS 2023; 9 pages, 2 figures, 1 table

GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning

Amani Namboori, Shivam Mangale, Andy Rosenbaum, Saleh Soltan

Comments Accepted to The 37th International Conference on Neural Information Processing Systems (NeurIPS 2023)December 10-16, 2023 - SyntheticData4ML workshop, New Orleans, United States https://neurips.cc/Conferences/2023

Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes

Ali Younis, Erik Sudderth

Comments Neurips 2023

Gradient Estimation with Discrete Stein Operators

Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey

Comments NeurIPS 2022. Source code: https://github.com/thjashin/rodeo

Unsupervised Learning of Group Invariant and Equivariant Representations

Robin Winter, Marco Bertolini, Tuan Le, Frank Noé, Djork-Arné Clevert

Journal ref https://papers.nips.cc/paper_files/paper/2022/hash/cf3d7d8e79703fe947deffb587a83639-Abstract-Conference.html

Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards

Hao Qin, Kwang-Sung Jun, Chicheng Zhang

Comments Accepted by NeurIPS 2023

Monte Carlo Tree Search with Boltzmann Exploration

Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda

Comments Camera ready version of NeurIPS2023 paper

Journal ref Advances in Neural Information Processing Systems 36 (2024)

Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control

Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare

Comments NeurIPS 2023 Accepted Paper. The first two authors contributed equally

Unsupervised Learning for Solving the Travelling Salesman Problem

Yimeng Min, Yiwei Bai, Carla P. Gomes

Comments NeurIPS 2023 Camera-ready version fix typos in appendix