Papers
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying, Kun Yuan, Yiming Chen et al.
Exponential Separation between Two Learning Models and Adversarial Robustness
Grzegorz Gluch, Ruediger Urbanke
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Extracting Deformation-Aware Local Features by Learning to Deform
Guilherme Potje, Renato Martins, Felipe Chamone et al.
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng, Tabish Rashid, Christian Schroeder de Witt et al.
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
Thomas Spooner, Nelson Vadori, Sumitra Ganesh
Fair Algorithms for Multi-Agent Multi-Armed Bandits
Safwan Hossain, Evi Micha, Nisarg Shah
Fair Classification with Adversarial Perturbations
L. Elisa Celis, Anay Mehrotra, Nisheeth Vishnoi
Fair Clustering Under a Bounded Cost
Seyed Esmaeili, Brian Brubach, Aravind Srinivasan et al.
Fair Exploration via Axiomatic Bargaining
Jackie Baek, Vivek Farias
Fairness in Ranking under Uncertainty
Ashudeep Singh, David Kempe, Thorsten Joachims
Fairness via Representation Neutralization
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang et al.
Fair Scheduling for Time-dependent Resources
Bo Li, Minming Li, Ruilong Zhang
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Fair Sortition Made Transparent
Bailey Flanigan, Gregory Kehne, Ariel D Procaccia
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Adarsh Barik, Jean Honorio
Fast Abductive Learning by Similarity-based Consistency Optimization
Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai et al.
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs
Bahram Behzadian, Marek Petrik, Chin Pang Ho
Fast and accurate randomized algorithms for low-rank tensor decompositions
Linjian Ma, Edgar Solomonik
Fast and Memory Efficient Differentially Private-SGD via JL Projections
Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni et al.
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
Mohamad Amin Sharifi Kolarijani, Gyula Max, Peyman Mohajerin Esfahani
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Kimia Nadjahi, Alain Durmus, Pierre E Jacob et al.
Fast Axiomatic Attribution for Neural Networks
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Fast Certified Robust Training with Short Warmup
Zhouxing Shi, Yihan Wang, Huan Zhang et al.