Papers
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
Sebastian Curi, Ilija Bogunovic, Andreas Krause
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Anselm Paulus, Michal Rolinek, Vit Musil et al.
Communication-Efficient Distributed Optimization with Quantized Preconditioners
Foivos Alimisis, Peter Davies, Dan Alistarh
Communication-Efficient Distributed SVD via Local Power Iterations
Xiang Li, Shusen Wang, Kun Chen et al.
Commutative Lie Group VAE for Disentanglement Learning
Xinqi Zhu, Chang Xu, Dacheng Tao
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Sang Michael Xie, Tengyu Ma, Percy Liang
Composing Normalizing Flows for Inverse Problems
Jay Whang, Erik Lindgren, Alex Dimakis
Compositional Video Synthesis with Action Graphs
Amir Bar, Roei Herzig, Xiaolong Wang et al.
Compressed Maximum Likelihood
Yi Hao, Alon Orlitsky
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
Fabien Collas, Ekhine Irurozki
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.