Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields ICCV 2023 Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms NeurIPS 2023 Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models EACL 2023 TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching ICCV 2023 trlX: A Framework for Large Scale Open Source RLHF EMNLP 2023 Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NeurIPS 2023 Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023 Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion AAAI 2023 Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023 Truthful Auctions for Automated Bidding in Online Advertising IJCAI 2023 TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation AISTATS 2023 Tuning Legged Locomotion Controllers via Safe Bayesian Optimization CoRL 2023 Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data NeurIPS 2023 Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning ACL 2023 Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023 Two-phase Attacks in Security Games UAI 2023 Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023 Two-Sample Tests for Inhomogeneous Random Graphs in L_r Norm: Optimality and Asymptotics AISTATS 2023 Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective ICML 2023 Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration UAI 2023 Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods NeurIPS 2023 Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation NeurIPS 2023 Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models ACL 2023 Two-stage Kernel Bayesian Optimization in High Dimensions UAI 2023 Two-Way Multi-Label Loss CVPR 2023