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Papers (including subtopics)

Truthful Data Acquisition via Peer Prediction NeurIPS 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits COLT 2020 Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems ICML 2020 Two-goal Local Search and Inference Rules for Minimum Dominating Set IJCAI 2020 Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks PGM 2020 Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020 Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees L4DC 2020 Understanding and Improving Proximity Graph Based Maximum Inner Product Search AAAI 2020 Understanding spiking networks through convex optimization NeurIPS 2020 Understanding the Effects of Batching in Online Active Learning AISTATS 2020 Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle ICML 2020 Uniform Welfare Guarantees Under Identical Subadditive Valuations IJCAI 2020 Universal Average-Case Optimality of Polyak Momentum ICML 2020 Universal Latent Space Model Fitting for Large Networks with Edge Covariates JMLR 2020 Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms NeurIPS 2020 Unsupervised Audio Source Separation Using Generative Priors Interspeech 2020 Upper bounds for Model-Free Row-Sparse Principal Component Analysis ICML 2020 Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources AAAI 2020 Utility/Privacy Trade-off through the lens of Optimal Transport AISTATS 2020 UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection SemEval 2020 Variable Elimination in Binary CSPs (Extended Abstract) IJCAI 2020 Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems ICML 2020 Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020 Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NeurIPS 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NeurIPS 2020