NeurIPS 2022 Conference Submissions

Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Yuri Fonseca, Yuri Saporito
- Published: 31 Oct 2022, Last Modified: 05 May 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Efficiency Ordering of Stochastic Gradient Descent
Jie Hu, Vishwaraj Doshi, Do Young Eun
- Published: 31 Oct 2022, Last Modified: 03 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Self-Aware Personalized Federated Learning
Huili Chen, Jie Ding, Eric William Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
Nonnegative Tensor Completion via Integer Optimization
Caleb Xavier Bugg, Chen Chen, Anil Aswani
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s
Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar
- Published: 31 Oct 2022, Last Modified: 09 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Equivariant Networks for Crystal Structures
Sékou-Oumar Kaba, Siamak Ravanbakhsh
- Published: 31 Oct 2022, Last Modified: 16 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas
- Published: 31 Oct 2022, Last Modified: 15 Dec 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Decoupled Context Processing for Context Augmented Language Modeling
Zonglin Li, Ruiqi Guo, Sanjiv Kumar
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
Dilip Arumugam, Satinder Singh
- Published: 31 Oct 2022, Last Modified: 11 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dorfler, Giorgia Ramponi
- Published: 31 Oct 2022, Last Modified: 10 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
Dongxu Zhang, Michael Boratko, Cameron N Musco, Andrew McCallum
- Published: 31 Oct 2022, Last Modified: 15 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Simple and Optimal Greedy Online Contention Resolution Schemes
Vasilis Livanos
- Published: 31 Oct 2022, Last Modified: 21 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Yogatheesan Varatharajah
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Christopher De Sa, Satyen Kale, Jason D. Lee, Ayush Sekhari, Karthik Sridharan
- Published: 31 Oct 2022, Last Modified: 16 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Fast Neural Kernel Embeddings for General Activations
Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman
- Published: 31 Oct 2022, Last Modified: 12 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Provably tuning the ElasticNet across instances
Nina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar
- Published: 31 Oct 2022, Last Modified: 15 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunovic, Dimitar Iliev Dimitrov, Nikola Jovanović, Martin Vechev
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma, Rose E Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
Explicable Policy Search
Ze Gong, Yu Zhang
- Published: 31 Oct 2022, Last Modified: 12 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
A Practical, Progressively-Expressive GNN
Lingxiao Zhao, Neil Shah, Leman Akoglu
- Published: 31 Oct 2022, Last Modified: 12 Mar 2024
- NeurIPS 2022 Accept
- Readers: Everyone
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning
Vindula Jayawardana, Catherine H Tang, Sirui Li, Dajiang Suo, Cathy Wu
- Published: 31 Oct 2022, Last Modified: 13 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
Luis Herrmann, Maximilian Granz, Tim Landgraf
- Published: 31 Oct 2022, Last Modified: 15 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
A PAC-Bayesian Generalization Bound for Equivariant Networks
Arash Behboodi, Gabriele Cesa, Taco Cohen
- Published: 31 Oct 2022, Last Modified: 24 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone