1: Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization
2: Beyond Equi-joins: Ranking, Enumeration and Factorization
3: Online Capacity Scaling Augmented With Unreliable Machine Learning Predictions
4: sGrapp: Butterfly Approximation in Streaming Graphs
5: $r$-indexing Wheeler graphs
6: Recurrent Submodular Welfare and Matroid Blocking Bandits
7: Fragile Complexity of Adaptive Algorithms