Skip to content
conftrace_

Papers (including subtopics)

Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NeurIPS 2022 VectorAdam for Rotation Equivariant Geometry Optimization NeurIPS 2022 Verification and search algorithms for causal DAGs NeurIPS 2022 Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes AAAI 2022 Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022 VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids IJCAI 2022 Visualizing the Relationship Between Encoded Linguistic Information and Task Performance ACL 2022 Wasserstein K-means for clustering probability distributions NeurIPS 2022 Wasserstein GANs with Gradient Penalty Compute Congested Transport COLT 2022 Wasserstein Iterative Networks for Barycenter Estimation NeurIPS 2022 Wasserstein Logistic Regression with Mixed Features NeurIPS 2022 Weighted Fairness Notions for Indivisible Items Revisited AAAI 2022 Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022 Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula AAAI 2022 Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022 When Are Linear Stochastic Bandits Attackable? ICML 2022 When Can the Defender Effectively Deceive Attackers in Security Games? AAAI 2022 When Combinatorial Thompson Sampling meets Approximation Regret NeurIPS 2022 When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022 Will Bilevel Optimizers Benefit from Loops NeurIPS 2022 Word-Label Alignment for Event Detection: A New Perspective via Optimal Transport NAACL 2022 Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem NAACL 2022 Worst-Case Voting When the Stakes Are High AAAI 2022 Yeti: Stateless and Generalized Multicast Forwarding NSDI 2022 You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks PGM 2022