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Papers (including subtopics)

Quasi-Newton Methods for Saddle Point Problems NeurIPS 2022 Quaternion Ordinal Embedding IJCAI 2022 Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022 Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits NeurIPS 2022 RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging CVPR 2022 RAMA: A Rapid Multicut Algorithm on GPU CVPR 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Random Mapping Method for Large-Scale Terrain Modeling AAAI 2022 Rapid Convergence of Informed Importance Tempering AISTATS 2022 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NeurIPS 2022 Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NeurIPS 2022 Rate-Optimal Online Convex Optimization in Adaptive Linear Control NeurIPS 2022 Real-Time Driver-Request Assignment in Ridesourcing AAAI 2022 RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022 Reconstruction on Trees and Low-Degree Polynomials NeurIPS 2022 Recruitment Strategies That Take a Chance NeurIPS 2022 Re-evaluating Word Mover’s Distance ICML 2022 Refined Lower Bounds for Nearest Neighbor Condensation ALT 2022 Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022 Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2022 Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation ICML 2022 Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data JMLR 2022 Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NeurIPS 2022 Reinforced Genetic Algorithm for Structure-based Drug Design NeurIPS 2022 Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022