Papers
572 papers found
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
Jian Li, Yong Liu, Rong Yin et al.
Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types
Trung Thanh Nguyen, Jörg Rothe
Lower Bounds for Approximate Knowledge Compilation
Alexis de Colnet, Stefan Mengel
Approximate Strategyproof Mechanisms for the Additively Separable Group Activity Selection Problem
Michele Flammini, Giovanna Varricchio
Approximately EFX Allocations for Indivisible Chores
Shengwei Zhou, Xiaowei Wu
Approximate Exploitability: Learning a Best Response
Finbarr Timbers, Nolan Bard, Edward Lockhart et al.
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics
Aamal Hussain, Francesco Belardinelli, Georgios Piliouras
Engineering an Efficient Approximate DNF-Counter
Mate Soos, Divesh Aggarwal, Sourav Chakraborty et al.
Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time
Valerie King, Alex Thomo, Quinton Yong
Approximate Envy-Freeness in Graphical Cake Cutting
Sheung Man Yuen, Warut Suksompong
Approximate Inference in Logical Credal Networks
Radu Marinescu, Haifeng Qian, Alexander Gray et al.
Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All
Atasi Panda, Anand Louis, Prajakta Nimbhorkar
Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers
Qingyuan Yang, Hu Ding
Approximate Dec-POMDP Solving Using Multi-Agent A*
Wietze Koops, Sebastian Junges, Nils Jansen
Inferring Iterated Function Systems Approximately from Fractal Images
Haotian Liu, Dixin Luo, Hongteng Xu
Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models
Damian Kurpiewski, Wojciech Jamroga, Yan Kim
Approximately EFX and fPO Allocations for Bivalued Chores
Zehan Lin, Xiaowei Wu, Shengwei Zhou
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Zengxia Guo, Bohui An, Zhongqi Lu
Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing
Shuyin Xia, Xiaojiang Tian, Suzhen Yuan et al.
Approximate Lifted Model Construction
Malte Luttermann, Jan Speller, Marcel Gehrke et al.
How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor?
Christian Clark, Byung-Doh Oh, William Schuler
Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED
Di He, Zuofu Cheng, Mark Hasegawa-Johnson et al.
Approximated and Domain-Adapted LSTM Language Models for First-Pass Decoding in Speech Recognition
Mittul Singh, Youssef Oualil, Dietrich Klakow
Approximate Nearest Neighbour Phrase Mining for Contextual Speech Recognition
Maurits Bleeker, Pawel Swietojanski, Stefan Braun et al.
A New Approximate Maximal Margin Classification Algorithm
Claudio Gentile