Papers
Comparator-Adaptive Convex Bandits
Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota et al.
Compositional Explanations of Neurons
Jesse Mu, Jacob Andreas
Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou et al.
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen, Chen Liang, Adams Wei Yu et al.
Compositional Visual Generation with Energy Based Models
Yilun Du, Shuang Li, Igor Mordatch
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
Dat Huynh, Ehsan Elhamifar
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang, Yang Zou, B. V. K. Vijaya Kumar et al.
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama et al.
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
Hassan Hafez-Kolahi, Zeinab Golgooni, Shohreh Kasaei et al.
Confidence sequences for sampling without replacement
Ian Waudby-Smith, Aaditya Ramdas
Conformal Symplectic and Relativistic Optimization
Guilherme Franca, Jeremias Sulam, Daniel Robinson et al.
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
Nathan Kallus, Angela Zhou
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices
John C. Duchi, Oliver Hinder, Andrew Naber et al.
Consequences of Misaligned AI
Simon Zhuang, Dylan Hadfield-Menell
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar, Aurick Zhou, George Tucker et al.
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong, Jinwoo Shin
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
Alexander Ritchie, Robert A Vandermeulen, Clayton Scott
Consistent feature selection for analytic deep neural networks
Vu C Dinh, Lam S Ho
Consistent Plug-in Classifiers for Complex Objectives and Constraints
Shiv Kumar Tavker, Harish Guruprasad Ramaswamy, Harikrishna Narasimhan
Consistent Structural Relation Learning for Zero-Shot Segmentation
Peike Li, Yunchao Wei, Yi Yang
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
Constantinos Daskalakis, Dhruv Rohatgi, Emmanouil Zampetakis
Constrained episodic reinforcement learning in concave-convex and knapsack settings
Kianté Brantley, Miro Dudik, Thodoris Lykouris et al.