NeurIPS

Beyond Average Return in Markov Decision Processes

Alexandre Marthe, Aurélien Garivier, Claire Vernade

Comments Neurips 2023, Dec 2023, New Orleans, United States

Learning on the Edge: Online Learning with Stochastic Feedback Graphs

Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi

Journal ref Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Beyond Bandit Feedback in Online Multiclass Classification

Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi

Journal ref 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

Corruption-Robust Offline Reinforcement Learning with General Function Approximation

Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang

Journal ref Neurips 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán-Casas, Rossella Arcucci

Comments NeurIPS 2023 Main track

Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution

Antonio Orvieto, Simon Lacoste-Julien, Nicolas Loizou

Comments Accepted at NeurIPS 2022 v4: tiny mistake in the main proof (result unchanged) is now fixed, v5: confusing typo fixed

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling

Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li

Comments Neurips 2023 Poster

FedNAR: Federated Optimization with Normalized Annealing Regularization

Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang

Comments Thirty-seventh Conference on Neural Information Processing Systems

Journal ref Thirty-seventh Conference on Neural Information Processing Systems, 2023

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang

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

Normalizing flow neural networks by JKO scheme

Chen Xu, Xiuyuan Cheng, Yao Xie

Comments NeurIPS 2023 spotlight

Efficient Sampling on Riemannian Manifolds via Langevin MCMC

Xiang Cheng, Jingzhao Zhang, Suvrit Sra

Comments This is an old paper from NeurIPS 2022. arXiv admin note: text overlap with arXiv:2204.13665

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability

Usha Bhalla, Suraj Srinivas, Himabindu Lakkaraju

Journal ref NeurIPS 2023 (Thirty-seventh Conference on Neural Information Processing Systems)

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye

Comments Accepted by NeurIPS 2023. 19 pages

Journal ref NeurIPS 2023

Real-time Animation Generation and Control on Rigged Models via Large Language Models

Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier

Comments Accepted to NeurIPS Workshop on ML for Creativity and Design 2023

Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints

Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers

Comments 22 pages, 8 figures. Accepted at NeurIPS 2023

The CLIP Model is Secretly an Image-to-Prompt Converter

Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu

Comments Accepted by NeurIPS 2023, 21 pages, 28 figures

Self-Correcting Bayesian Optimization through Bayesian Active Learning

Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi

Journal ref 37th International Conference on Neural Information Processing Systems (NeurIPS 2023)

Semi-Supervised Diffusion Model for Brain Age Prediction

Ayodeji Ijishakin, Sophie Martin, Florence Townend, Federica Agosta, Edoardo Gioele Spinelli, Silvia Basaia, Paride Schito, Yuri Falzone, Massimo Filippi, James Cole, Andrea Malaspina

Journal ref Deep Generative Models for Health Workshop, NeurIPS 2023

Predicting User Experience on Laptops from Hardware Specifications

Saswat Padhi, Sunil K. Bhasin, Udaya K. Ammu, Alex Bergman, Allan Knies

Comments Spotlight presentation at the ML for Systems workshop at NeurIPS 2023 ; 9 pages with appendix ; https://openreview.net/forum?id=mHShSE7MSU

On dimensionality of feature vectors in MPNNs

César Bravo, Alexander Kozachinskiy, Cristóbal Rojas

Comments 15 pages, 2 figures. Changes to the previous version: added reference to Amir et al.~(NeurIPS'23)

General Identifiability and Achievability for Causal Representation Learning

Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Ali Tajer

Comments Accepted to AISTATS 2024 (oral presentation). Also appeared at CRL Workshop @ NeurIPS 2023 (oral presentation) titled as "Score-based Causal Representation Learning: Nonparametric Identifiability"

AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments

Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi

Comments Appear at NeurIPS 2023 Workshop XAIA

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani

Comments NeurIPS 2023

Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Bilal Chughtai, Alan Cooney, Neel Nanda

Comments NeurIPS 2023 Attributing Model Behaviour at Scale Workshop

Towards Fast Stochastic Sampling in Diffusion Generative Models

Kushagra Pandey, Maja Rudolph, Stephan Mandt

Comments Accepted in the NeurIPS'23 Workshop on Diffusion Models. Full version of this work can be found at arXiv:2310.07894

Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds

Taira Tsuchiya, Shinji Ito, Junya Honda

Comments Published version in Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 32 pages

Learning to Compress Prompts with Gist Tokens

Jesse Mu, Xiang Lisa Li, Noah Goodman

Comments NeurIPS 2023, 26 pages. Version 3 updates preprint to camera-ready version and clarifies some writing in places

Practical Differentially Private Hyperparameter Tuning with Subsampling

Antti Koskela, Tejas Kulkarni

Journal ref NeurIPS 2023

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning

Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang

Comments code at: https://github.com/WANGXinyiLinda/concept-based-demonstration-selection Accepted to NeurIPS 2023

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)

Weijie Tu, Weijian Deng, Tom Gedeon

Comments Accepted by NeurIPS 2023