ML Anthology

Ma, Cong

25 publications

ICCV 2025 GeoFormer: Geometry Point Encoder for 3D Object Detection with Graph-Based Transformer Xin Jin, Haisheng Su, Cong Ma, Kai Liu, Wei Wu, Fei Hui, Junchi Yan
NeurIPS 2025 Multi-Modal Contrastive Learning Adapts to Intrinsic Dimensions of Shared Latent Variables Yu Gui, Cong Ma, Zongming Ma
CVPR 2025 RoboSense: Large-Scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments Haisheng Su, Feixiang Song, Cong Ma, Wei Wu, Junchi Yan
CVPR 2025 UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-Based 3D Object Detection Xin Jin, Haisheng Su, Kai Liu, Cong Ma, Wei Wu, Fei Hui, Junchi Yan
ECCV 2024 H-V2X: A Large Scale Highway Dataset for BEV Perception Chang Liu, MingXu Zhu, Cong Ma
CVPR 2024 HoloVIC: Large-Scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative Cong Ma, Lei Qiao, Chengkai Zhu, Kai Liu, Zelong Kong, Qing Li, Xueqi Zhou, Yuheng Kan, Wei Wu
ICLR 2024 Maximum Likelihood Estimation Is All You Need for Well-Specified Covariate Shift Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
NeurIPS 2024 Off-Policy Estimation with Adaptively Collected Data: The Power of Online Learning Jeonghwan Lee, Cong Ma
AAAI 2024 SwiftPillars: High-Efficiency Pillar Encoder for LiDAR-Based 3D Detection Xin Jin, Kai Liu, Cong Ma, Ruining Yang, Fei Hui, Wei Wu
COLT 2024 Top-$k$ Ranking with a Monotone Adversary Yuepeng Yang, Antares Chen, Lorenzo Orecchia, Cong Ma
ICLR 2023 $O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games Yuepeng Yang, Cong Ma
NeurIPS 2023 Conformalized Matrix Completion Yu Gui, Rina Barber, Cong Ma
ICML 2023 Jump-Start Reinforcement Learning Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
NeurIPSW 2023 Maximum Likelihood Estimation Is All You Need for Well-Specified Covariate Shift Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
ICML 2023 The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma
AISTATS 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi
ICML 2022 A New Similarity Measure for Covariate Shift with Applications to Nonparametric Regression Reese Pathak, Cong Ma, Martin Wainwright
NeurIPS 2022 Pessimism for Offline Linear Contextual Bandits Using $\ell_p$ Confidence Sets Gene Li, Cong Ma, Nati Srebro
JMLR 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi
JMLR 2021 Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent Tian Tong, Cong Ma, Yuejie Chi
NeurIPS 2021 Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart J. Russell
FnTML 2021 Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
AAAI 2020 Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Jianwu Fang, Kang Zheng, Cong Ma, Song Wang
AISTATS 2019 Nonconvex Matrix Factorization from Rank-One Measurements Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
ICML 2018 Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen