Mathematics & Optimization

Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations NeurIPS 2023 Revisiting Bayesian network learning with small vertex cover UAI 2023 Revisiting Entropy Rate Constancy in Text EMNLP 2023 Revisiting minimum description length complexity in overparameterized models JMLR 2023 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023 Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution CVPR 2023 Revisiting Sampling for Combinatorial Optimization ICML 2023 Revisiting Simple Regret: Fast Rates for Returning a Good Arm ICML 2023 Revisiting the P3P Problem CVPR 2023 Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract) IJCAI 2023 RF-Chord: Towards Deployable RFID Localization System for Logistic Networks NSDI 2023 Riemannian Accelerated Gradient Methods via Extrapolation AISTATS 2023 Riemannian Projection-free Online Learning NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NeurIPS 2023 Riemannian stochastic optimization methods avoid strict saddle points NeurIPS 2023 Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems NeurIPS 2023 RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs NSDI 2023 Risk-limiting financial audits via weighted sampling without replacement UAI 2023 Robust and Fast Measure of Information via Low-Rank Representation AAAI 2023 Robust and private stochastic linear bandits ICML 2023 Robust Average-Reward Markov Decision Processes AAAI 2023 Robust Budget Pacing with a Single Sample ICML 2023 Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues ICML 2023