NeurIPS 2023 Conference Submissions

Dynamic Non-monotone Submodular Maximization
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
Andres Potapczynski, Marc Anton Finzi, Geoff Pleiss, Andrew Gordon Wilson
- Published: 21 Sept 2023, Last Modified: 05 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Improving Self-supervised Molecular Representation Learning using Persistent Homology
Yuankai Luo, Lei Shi, Veronika Thost
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Utilitarian Algorithm Configuration
Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden
- Published: 21 Sept 2023, Last Modified: 05 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Beta Diffusion
Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
- Published: 21 Sept 2023, Last Modified: 25 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
Haitong LIU, Qiang LI, Hoi To Wai
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Learning Transformer Programs
Dan Friedman, Alexander Wettig, Danqi Chen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Simple and Controllable Music Generation
Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez
- Published: 21 Sept 2023, Last Modified: 29 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Mitigating the Effect of Incidental Correlations on Part-based Learning
Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Canonical normalizing flows for manifold learning
Kyriakos Flouris, Ender Konukoglu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Max Torop, Aria Masoomi, Davin Hill, Kivanc Kose, Stratis Ioannidis, Jennifer Dy
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
Tyler Kastner, Murat A Erdogdu, Amir-massoud Farahmand
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia E Vogt
- Published: 21 Sept 2023, Last Modified: 12 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
Victor Boone, Panayotis Mertikopoulos
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Improving the Knowledge Gradient Algorithm
Le Yang, Siyang Gao, Chin Pang Ho
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning to Discover Skills through Guidance
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Individualized Dosing Dynamics via Neural Eigen Decomposition
Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure
Yuchao Qin, Mihaela van der Schaar, Changhee Lee
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun
- Published: 21 Sept 2023, Last Modified: 14 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
Zhenyu Zhu, Francesco Locatello, Volkan Cevher
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun
- Published: 21 Sept 2023, Last Modified: 14 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone