Louis, Anand

12 publications

COLT 2025 Robust Algorithms for Recovering Planted $r$-Colorable Graphs Anand Louis, Rameesh Paul, Prasad Raghavendra

IJCAI 2024 Individual Fairness Under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All Atasi Panda, Anand Louis, Prajakta Nimbhorkar

NeurIPSW 2023 Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis

IJCAI 2023 Sampling Ex-Post Group-Fair Rankings Sruthi Gorantla, Amit Deshpande, Anand Louis

ECML-PKDD 2023 Socially Fair Center-Based and Linear Subspace Clustering Sruthi Gorantla, Kishen N. Gowda, Amit Deshpande, Anand Louis

UAI 2022 Robust Identifiability in Linear Structural Equation Models of Causal Inference Karthik A. Sankararaman, Anand Louis, Navin Goyal

IJCAI 2021 Matchings with Group Fairness Constraints: Online and Offline Algorithms Govind S. Sankar, Anand Louis, Meghana Nasre, Prajakta Nimbhorkar

ICML 2021 On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla, Amit Deshpande, Anand Louis

NeurIPSW 2019 Biologically Plausible Neural Networks via Evolutionary Dynamics and Dopaminergic Plasticity Sruthi Gorantla, Anand Louis, Christos H. Papadimitriou, Santosh Vempala, Naganand Yadati

NeurIPS 2019 HyperGCN: A New Method for Training Graph Convolutional Networks on Hypergraphs Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha Talukdar

AISTATS 2019 On Euclidean K-Means Clustering with Alpha-Center Proximity Amit Deshpande, Anand Louis, Apoorv Singh

UAI 2019 Stability of Linear Structural Equation Models of Causal Inference Karthik Abhinav Sankararaman, Anand Louis, Navin Goyal