Papers
Boosted Density Estimation Remastered
Zac Cranko, Richard Nock
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
Kareem Amin, Alex Kulesza, Andres Munoz et al.
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
Ikuro Sato, Kohta Ishikawa, Guoqing Liu et al.
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms
Ashok Makkuva, Pramod Viswanath, Sreeram Kannan et al.
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
Octavian Ganea, Sylvain Gelly, Gary Becigneul et al.
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang, Tianle Liu, Mingsheng Long et al.
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
Yi Su, Lequn Wang, Michele Santacatterina et al.
Calibrated Approximate Bayesian Inference
Hanwen Xing, Geoff Nicholls, Jeong Lee
Calibrated Model-Based Deep Reinforcement Learning
Ali Malik, Volodymyr Kuleshov, Jiaming Song et al.
CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration
Gellert Weisz, Andras Gyorgy, Csaba Szepesvari
Categorical Feature Compression via Submodular Optimization
Mohammadhossein Bateni, Lin Chen, Hossein Esfandiari et al.
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
Biwei Huang, Kun Zhang, Mingming Gong et al.
Causal Identification under Markov Equivalence: Completeness Results
Amin Jaber, Jiji Zhang, Elias Bareinboim
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints
Nikolaos Liakopoulos, Apostolos Destounis, Georgios Paschos et al.
Certified Adversarial Robustness via Randomized Smoothing
Jeremy Cohen, Elan Rosenfeld, Zico Kolter
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello, Stefan Bauer, Mario Lucic et al.
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
Marten Van Dijk, Lam Nguyen, Phuong Ha Nguyen et al.
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano-Casado, David Martı́nez-Rubio
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network
Tom Kenter, Vincent Wan, Chun-An Chan et al.
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design
Guo Zhang, Hao He, Dina Katabi
Classification from Positive, Unlabeled and Biased Negative Data
Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama
Cognitive model priors for predicting human decisions
David D. Bourgin, Joshua C. Peterson, Daniel Reichman et al.
Collaborative Channel Pruning for Deep Networks
Hanyu Peng, Jiaxiang Wu, Shifeng Chen et al.