Mathematics & Optimization

Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023 MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023 Matchings under One-Sided Preferences with Soft Quotas IJCAI 2023 Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals AAAI 2023 Matrix Estimation for Individual Fairness ICML 2023 Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023 Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents IJCAI 2023 Maximization of Minimum Weighted Hamming Distance between Set Pairs ACML 2023 Maximizing Influence Spread through a Dynamic Social Network (Student Abstract) AAAI 2023 Maximizing submodular functions under submodular constraints UAI 2023 Maximizing the Probability of Fixation in the Positional Voter Model AAAI 2023 Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits NeurIPS 2023 Maximum Independent Set: Self-Training through Dynamic Programming NeurIPS 2023 Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming ICML 2023 Max Markov Chain IJCAI 2023 Max-Quantile Grouped Infinite-Arm Bandits ALT 2023 Max-Sliced Mutual Information NeurIPS 2023 Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023 Mean Parity Fair Regression in RKHS AISTATS 2023 Mean Payoff Optimization for Systems of Periodic Service and Maintenance IJCAI 2023 Measuring and Controlling Divisiveness in Rank Aggregation IJCAI 2023 Measuring a Priori Voting Power in Liquid Democracy IJCAI 2023 Measuring Pointwise 𝒱-Usable Information In-Context-ly EMNLP 2023 Memory-Constrained Algorithms for Convex Optimization NeurIPS 2023 Meta-Learning Adversarial Bandit Algorithms NeurIPS 2023