Papers
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
Junhyung Park, Uri Shalit, Bernhard Schölkopf et al.
Conditional Temporal Neural Processes with Covariance Loss
Boseon Yoo, Jiwoo Lee, Janghoon Ju et al.
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Jaehyeon Kim, Jungil Kong, Juhee Son
Confidence-Budget Matching for Sequential Budgeted Learning
Yonathan Efroni, Nadav Merlis, Aadirupa Saha et al.
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon, Bo Han, Gang Niu et al.
Conformal prediction interval for dynamic time-series
Chen Xu, Yao Xie
Conjugate Energy-Based Models
Hao Wu, Babak Esmaeili, Michael Wick et al.
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
Gabriele Farina, Andrea Celli, Nicola Gatti et al.
Connecting Sphere Manifolds Hierarchically for Regularization
Damien Scieur, Youngsung Kim
Consensus Control for Decentralized Deep Learning
Lingjing Kong, Tao Lin, Anastasia Koloskova et al.
Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco, Aviral Kumar, Xinyang Geng et al.
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
Xueyu Mao, Deepayan Chakrabarti, Purnamrita Sarkar
Consistent regression when oblivious outliers overwhelm
Tommaso D’Orsi, Gleb Novikov, David Steurer
Context-Aware Online Collective Inference for Templated Graphical Models
Charles Dickens, Connor Pryor, Eriq Augustine et al.
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee, Sebastian Goldt, Andrew Saxe
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville et al.
Continuous-time Model-based Reinforcement Learning
Cagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann, Yash Sharma, Steffen Schneider et al.
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
Eli Meirom, Haggai Maron, Shie Mannor et al.
Convex Regularization in Monte-Carlo Tree Search
Tuan Q Dam, Carlo D’Eramo, Jan Peters et al.
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
Mengfan Wang, Boyu Lyu, Guoqiang Yu
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane D’Ascoli, Hugo Touvron, Matthew L Leavitt et al.
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu, Unnat Jain, Raymond A Yeh et al.
Correcting Exposure Bias for Link Recommendation
Shantanu Gupta, Hao Wang, Zachary Lipton et al.