gradient-based optimization

Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021 Robustness and scalability under heavy tails, without strong convexity AISTATS 2021 RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Successive Halving Top-k Operator AAAI 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 A Class of Algorithms for General Instrumental Variable Models NeurIPS 2020 Adaptive Adversarial Multi-task Representation Learning ICML 2020 ASAP: Architecture Search, Anneal and Prune AISTATS 2020 Bandit Convex Optimization in Non-stationary Environments AISTATS 2020 Black-Box Optimization with Local Generative Surrogates NeurIPS 2020 Continuous-time Lower Bounds for Gradient-based Algorithms ICML 2020 Differentiable Causal Backdoor Discovery AISTATS 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020 Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020 Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NeurIPS 2020 Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020 Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation EMNLP 2020 Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition IJCAI 2020 NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance RSS 2020 On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner CVPR 2020 Provable Smoothness Guarantees for Black-Box Variational Inference ICML 2020 Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020