Papers
4,025 papers found
A Complete Characterisation of ReLU-Invariant Distributions
Jan Macdonald, Stephan Wäldchen
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
Pedro Cisneros-Velarde, Francesco Bullo
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
Alix Lheritier, Nicolas Bondoux
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
Marco Rando, Luigi Carratino, Silvia Villa et al.
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning
Jihun Yun, Aurelie Lozano, Eunho Yang
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
James Brofos, Marylou Gabrie, Marcus A. Brubaker et al.
Adaptive A/B Test on Networks with Cluster Structures
Yang Liu, Yifan Zhou, Ping Li et al.
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
Felix Opolka, Yin-Cong Zhi, Pietro Lió et al.
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
Anna Korba, François Portier
Adaptive Multi-Goal Exploration
Jean Tarbouriech, Omar Darwiche Domingues, Pierre Menard et al.
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE
Yuqing Zhu, Yu-Xiang Wang
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons
Yue Wu, Tao Jin, Hao Lou et al.
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
Alex R. Dytso, Mario Goldenbaum, H. Vincent Poor et al.
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
Donghao Ying, Yuhao Ding, Javad Lavaei
Adversarially Robust Kernel Smoothing
Jia-Jie Zhu, Christina Kouridi, Yassine Nemmour et al.
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis
A general class of surrogate functions for stable and efficient reinforcement learning
Sharan Vaswani, Olivier Bachem, Simone Totaro et al.
A general sample complexity analysis of vanilla policy gradient
Rui Yuan, Robert M. Gower, Alessandro Lazaric
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
Youssef Diouane, Aurelien Lucchi, Vihang Prakash Patil
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi et al.
Aligned Multi-Task Gaussian Process
Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne et al.
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Vibhor Porwal, Piyush Srivastava, Gaurav Sinha
A Manifold View of Adversarial Risk
Wenjia Zhang, Yikai Zhang, Xiaoling Hu et al.
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon