Papers
Probing Emergent Semantics in Predictive Agents via Question Answering
Abhishek Das, Federico Carnevale, Hamza Merzic et al.
Problems with Shapley-value-based explanations as feature importance measures
I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger et al.
Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo, Zijian Wang, Zi Huang et al.
Progressive Identification of True Labels for Partial-Label Learning
Jiaqi Lv, Miao Xu, Lei Feng et al.
Projection-free Distributed Online Convex Optimization with $O(\sqrtT)$ Communication Complexity
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Projective Preferential Bayesian Optimization
Petrus Mikkola, Milica Todorović, Jari Järvi et al.
Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang et al.
Provable guarantees for decision tree induction: the agnostic setting
Guy Blanc, Jane Lange, Li-Yang Tan
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora, Simon Du, Sham Kakade et al.
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
Shangtong Zhang, Bo Liu, Hengshuai Yao et al.
Provably Efficient Exploration in Policy Optimization
Qi Cai, Zhuoran Yang, Chi Jin et al.
Provably Efficient Model-based Policy Adaptation
Yuda Song, Aditi Mavalankar, Wen Sun et al.
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach, Gilad Yehudai, Shai Shalev-Schwartz et al.
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
Runchao Ma, Qihang Lin, Tianbao Yang
Quantized Decentralized Stochastic Learning over Directed Graphs
Hossein Taheri, Aryan Mokhtari, Hamed Hassani et al.
Quantum Boosting
Srinivasan Arunachalam, Reevu Maity
Quantum Expectation-Maximization for Gaussian mixture models
Iordanis Kerenidis, Alessandro Luongo, Anupam Prakash
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Yaodong Yang, Jianye Hao, Guangyong Chen et al.
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low et al.
Radioactive data: tracing through training
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid et al.
Random extrapolation for primal-dual coordinate descent
Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Richard Zhang, Daniel Golovin