Papers
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata, Taiji Suzuki
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji, Junjie Yang, Yingbin Liang
Bilinear Classes: A Structural Framework for Provable Generalization in RL
Simon Du, Sham Kakade, Jason Lee et al.
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
Nan Lu, Shida Lei, Gang Niu et al.
Black-box density function estimation using recursive partitioning
Erik Bodin, Zhenwen Dai, Neill Campbell et al.
Blind Pareto Fairness and Subgroup Robustness
Natalia L Martinez, Martin A Bertran, Afroditi Papadaki et al.
Boosting for Online Convex Optimization
Elad Hazan, Karan Singh
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian, Amar Phanishayee, Matthai Philipose et al.
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
Botao Hao, Xiang Ji, Yaqi Duan et al.
BORE: Bayesian Optimization by Density-Ratio Estimation
Louis C Tiao, Aaron Klein, Matthias W Seeger et al.
Breaking the Deadly Triad with a Target Network
Shangtong Zhang, Hengshuai Yao, Shimon Whiteson
Breaking the Limits of Message Passing Graph Neural Networks
Muhammet Balcilar, Pierre Heroux, Benoit Gauzere et al.
Break-It-Fix-It: Unsupervised Learning for Program Repair
Michihiro Yasunaga, Percy Liang
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
Haoxiang Wang, Han Zhao, Bo Li
Budgeted Heterogeneous Treatment Effect Estimation
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
Deepesh Data, Suhas Diggavi
Calibrate Before Use: Improving Few-shot Performance of Language Models
Zihao Zhao, Eric Wallace, Shi Feng et al.
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang, Kartik Ahuja, Yilun Xu et al.
CARTL: Cooperative Adversarially-Robust Transfer Learning
Dian Chen, Hongxin Hu, Qian Wang et al.
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand et al.
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan, Kaiqiang Song, Fei Liu et al.
Catformer: Designing Stable Transformers via Sensitivity Analysis
Jared Q Davis, Albert Gu, Krzysztof Choromanski et al.
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh A Sontakke, Arash Mehrjou, Laurent Itti et al.
ChaCha for Online AutoML
Qingyun Wu, Chi Wang, John Langford et al.