Papers
Nugget: Neural Agglomerative Embeddings of Text
Guanghui Qin, Benjamin Van Durme
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Songming Liu, Zhongkai Hao, Chengyang Ying et al.
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati, Lior Wolf
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia et al.
Offline Learning in Markov Games with General Function Approximation
Yuheng Zhang, Yu Bai, Nan Jiang
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
Jianhao Wang, Jin Zhang, Haozhe Jiang et al.
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
Jiachen Li, Edwin Zhang, Ming Yin et al.
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
Naman Saxena, Subhojyoti Khastagir, Shishir Kolathaya et al.
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
Yuta Saito, Qingyang Ren, Thorsten Joachims
Omnipredictors for Constrained Optimization
Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold et al.
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Zinan Lin et al.
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
Maohao Shen, Yuheng Bu, Gregory W. Wornell
On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization
Amir Joudaki, Hadi Daneshmand, Francis Bach
On Computing Optimal Tree Ensembles
Christian Komusiewicz, Pascal Kunz, Frank Sommer et al.
On Coresets for Clustering in Small Dimensional Euclidean spaces
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang et al.
On Data Manifolds Entailed by Structural Causal Models
Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis et al.
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
Sepanta Zeighami, Cyrus Shahabi
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
Shijun Zhang, Jianfeng Lu, Hongkai Zhao
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
Daniel Severo, James Townsend, Ashish J Khisti et al.
One-Shot Federated Conformal Prediction
Pierre Humbert, Batiste Le Bars, Aurélien Bellet et al.
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
Sangwoo Shin, Daehee Lee, Minjong Yoo et al.
One-sided Matrix Completion from Two Observations Per Row
Steven Cao, Percy Liang, Gregory Valiant
One-Step Estimator for Permuted Sparse Recovery
Hang Zhang, Ping Li
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao, Shen Nie, Kaiwen Xue et al.
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada et al.